1,414 AI Technology jobs in India
AI Technology and Innovation Engineer
Bangalore, Karnataka
NTT America, Inc.
Posted 2 days ago
Job Viewed
Job Description
**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.
**Key Responsibilities**
+ Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
+ Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
+ Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
+ Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
+ Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
+ Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
+ Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
+ Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
+ Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
+ Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
+ Supports internal teams and vendors with installation and configuration of AI applications and platforms.
+ Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
+ Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
+ Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
+ Performs any other related tasks as required.
**Knowledge and Attributes**
+ Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.
+ Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.
+ Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.
+ Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.
+ Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.
+ Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.
+ Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.
+ Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.
+ Analytical in their approach to AI technology evaluation and solution design.
+ Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.
+ Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.
+ Displays good business acumen with ability to translate AI technical capabilities into business value propositions.
+ Strong vendor relationship management and negotiation skills for AI technology partnerships.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
+ TOGAF / COBIT or related enterprise architecture certification preferred.
+ Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
+ AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.
**Required Experience**
+ Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
+ Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
+ Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
+ Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
+ Demonstrated experience in leading complex AI technology evaluations and implementation projects.
+ Experience with enterprise AI governance, risk management, and compliance frameworks.
+ Track record of successful AI vendor partnership development and management.
+ Experience in mentoring junior engineers and contributing to technical team development.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.
**Key Responsibilities**
+ Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
+ Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
+ Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
+ Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
+ Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
+ Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
+ Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
+ Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
+ Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
+ Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
+ Supports internal teams and vendors with installation and configuration of AI applications and platforms.
+ Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
+ Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
+ Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
+ Performs any other related tasks as required.
**Knowledge and Attributes**
+ Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.
+ Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.
+ Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.
+ Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.
+ Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.
+ Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.
+ Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.
+ Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.
+ Analytical in their approach to AI technology evaluation and solution design.
+ Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.
+ Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.
+ Displays good business acumen with ability to translate AI technical capabilities into business value propositions.
+ Strong vendor relationship management and negotiation skills for AI technology partnerships.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
+ TOGAF / COBIT or related enterprise architecture certification preferred.
+ Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
+ AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.
**Required Experience**
+ Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
+ Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
+ Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
+ Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
+ Demonstrated experience in leading complex AI technology evaluations and implementation projects.
+ Experience with enterprise AI governance, risk management, and compliance frameworks.
+ Track record of successful AI vendor partnership development and management.
+ Experience in mentoring junior engineers and contributing to technical team development.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
This advertiser has chosen not to accept applicants from your region.
0
Principal AI Technology & Innovation Specialist
Bangalore, Karnataka
NTT America, Inc.
Posted 2 days ago
Job Viewed
Job Description
**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.
The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.
**Key Responsibilities**
+ Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
+ Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
+ Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
+ Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
+ Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
+ Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
+ Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
+ Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
+ Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
+ Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
+ Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.
**Knowledge and Attributes**
+ Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
+ Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.
+ Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
+ Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
+ Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
+ Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
+ Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
+ Advanced degrees (MSc/PhD) in AI/ML fields preferred.
+ TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
+ Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
**Required Experience**
+ Extensive experience in leading enterprise AI innovation and architecture initiatives.
+ Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
+ Experience working across multiple industries and large-scale IT organizations.
+ Hands-on experience in AI/ML development, integration, and lifecycle management.
+ Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.
The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.
**Key Responsibilities**
+ Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
+ Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
+ Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
+ Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
+ Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
+ Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
+ Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
+ Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
+ Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
+ Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
+ Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.
**Knowledge and Attributes**
+ Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
+ Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.
+ Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
+ Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
+ Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
+ Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
+ Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
+ Advanced degrees (MSc/PhD) in AI/ML fields preferred.
+ TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
+ Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
**Required Experience**
+ Extensive experience in leading enterprise AI innovation and architecture initiatives.
+ Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
+ Experience working across multiple industries and large-scale IT organizations.
+ Hands-on experience in AI/ML development, integration, and lifecycle management.
+ Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
This advertiser has chosen not to accept applicants from your region.
1
Head of Gen AI Technology - Build an AI Factory
Hyderabad, Andhra Pradesh
US Tech Solutions
Posted 5 days ago
Job Viewed
Job Description
About US Tech Solutions
US Tech Solutions is a leading IT services, talent solutions, and HR Tech SaaS platform company. We are driving digital transformation for enterprises by leveraging cutting-edge technologies and delivering talent-driven business solutions. As we scale into the next phase of growth, we are building an AI Factory to power innovation across internal products and client engagements.
Role Overview
We are seeking a visionary and execution-driven Head of AI Engineering to architect, scale, and lead our AI Factory. This leader will spearhead development of transformative AI and Gen AI solutions, manage a large multi-disciplinary engineering team, and collaborate directly with clients to co-create rapid prototypes and production-grade solutions.
This is a high-impact leadership role for a dynamic individual with proven success in building large AI teams, delivering sophisticated Gen AI applications, and thriving in a fast-paced, client-centric environment.
Key Responsibilities
- Build & Scale the AI Factory : Establish a world-class AI engineering organization capable of executing multiple internal and client projects simultaneously.
- Innovative Solution Development : Drive the design and deployment of cutting-edge Gen AI solutions for complex business challenges across industries.
- Rapid Prototyping : Lead teams to deliver functional proof-of-concepts (POCs) in 3–5 days to demonstrate transformational potential to clients.
- Client Engagement : Serve as a trusted advisor to clients, identifying opportunities for AI-driven transformation, and articulating clear value propositions.
- Team Leadership : Recruit, mentor, and scale high-performing engineering teams, fostering a culture of innovation, accountability, and excellence.
- Delivery Excellence : Oversee full lifecycle delivery of AI initiatives from ideation through production, ensuring scalability, security, and measurable business impact.
- Collaboration & Partnerships : Work closely with internal business leaders, product teams, and external partners to accelerate AI adoption.
- Thought Leadership : Represent US Tech Solutions at industry forums, positioning the company as a leader in Gen AI-powered talent and HR Tech innovation.
Qualifications & Experience
- Proven leadership in building and scaling large AI/ML engineering teams.
- 15+ years in technology leadership roles, with at least 5 years in AI/ML and Gen AI solution development.
- Demonstrated success delivering sophisticated Gen AI solutions (e.g., LLM applications, multi-modal AI, conversational AI, enterprise automation).
- Experience designing and deploying enterprise-grade AI platforms in cloud and hybrid environments.
- Strong client-facing skills with ability to translate complex AI concepts into clear, compelling business solutions.
- Track record of delivering rapid POCs and transitioning them into production-ready solutions.
- Deep knowledge of modern AI ecosystems: LLM frameworks, model fine-tuning, prompt engineering, vector databases, cloud AI services (AWS, Azure, GCP).
- Strong understanding of software engineering best practices , DevOps/MLOps, and security in AI systems.
- Excellent communication, stakeholder management, and executive presence.
- Thrives in fast-paced, high-growth environments with an entrepreneurial mindset.
What We Offer
- Opportunity to build and lead the AI Factory at a rapidly growing enterprise.
- Highly competitive compensation, performance-based incentives, and executive-level rewards.
- A culture of innovation, collaboration, and impact.
- Access to cutting-edge AI tools, resources, and partnerships.
- A platform to shape the future of AI-powered HR Tech and IT solutions.
Why Join Us?
This role is more than leadership—it’s about building something transformative . If you’re passionate about AI innovation, scaling engineering organizations, and delivering client impact at speed, we’d love to talk.
This advertiser has chosen not to accept applicants from your region.
2
Audit Director - AI Technology, Cyber, Data and GenAI Engineering
Mumbai, Maharashtra
Citigroup
Posted 2 days ago
Job Viewed
Job Description
Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism.
**Shape your Career with Citi**
Citi **Internal Audit (IA)** is a dynamic global function of over 2,500 professionals located across more than 60 countries, covering Citi's global businesses and service to clients and customers through its network in 98 countries. Through a culture of continuous improvement, Citi IA is focused on maintaining its position as a best-in-class IA function and is committed to investing in people, learning and development, innovation, and methodology programs. The Internal Audit mission is to provide independent, objective, reliable, valued and timely assurance to the Board, senior management and regulators of Citigroup and Citibank (and its subsidiaries), over the effectiveness of culture, ethical conduct, governance, risk management, and controls that mitigate current and evolving risks and to enhance the control environment. IA is a change agent within Citi to enhance the control culture of Citigroup worldwide and therefore support senior management decision making around the globe.
We're currently looking for a high caliber professional to join our team as **Audit Director - AI Technology, Cyber, Data and GenAI Engineering** **- Hybrid** (Internal Job Title: Director - C15) based in **Mumbai, India** . Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That's why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
+ We empower our employees to manage their financial well-being and help them plan for the future.
+ We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
**Role Overview:**
The Audit Director - AI Technology, Cyber, Data and GenAI Engineering is a senior level management position, reporting to the Chief Auditor Artificial Intelligence (AI) Assurance, responsible for managing a team of audit professionals with an overall objective to strategically direct audit activities and assessments of the risk and control environment for the adoption of AI/GenAI, specifically related to AI Technology, Cyber, Data and GenAI Engineering.
This role will primarily focus on AI Technology, Cyber, Data and GenAI Engineering with the overall objective of this role to ensure that Citi Internal Audit's approach to AI to position Citi IA as the leading IA function in the financial services industry.
**What you will do**
+ Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering, of high quality, within budget, and within the expected timelines.
+ Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team.
+ Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs.
+ Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design applicable to AI, GenAI and agentic AI.
+ Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure. This covers GPU and CPU usage patterns, compute and token cost optimization, efficient resource utilization, plugins and GenAI API ecosystems, infrastructure for evaluations and testing, version control, GenAI system lifecycle management, sandboxing environments, and promotion from development to production.
+ Assessing security and safety controls for AI, GenAI and agentic AI implementation. This will include reviewing cyber security controls, use-cases specific guardrails.
+ Assessing approaches for red-teaming, safety testing, alerting.
+ Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view.
+ Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
+ Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems, including per-prompt traces, tool-call audit trails, safety events, and dashboards/alerts with immutable log retention.
+ Evaluating resilience, disaster recovery of AI, GenAI and agentic systems, focusing on failure scenarios, recovery procedure. Ensuring AI, GenAI and agentic systems are designed to be resilient and meeting business RTO and RPO requirements.
+ Evaluating data pipelines, retrieval systems, and agentic workflows with attention to data integrity, privacy enforcement, misuse prevention, access management, encryption, resilience and recovery, and robustness under adversarial conditions such as data poisoning and denial-of-service attacks.
+ Assessing data engineering, quality, and lineage across structured and unstructured data, including governance and lifecycle management of data sources and outputs, with mechanisms such as watermarking.
+ Ensure timely delivery of comprehensive regulatory and internal audit issue validation, including issues arising from other external parties.
+ Evaluate the adequacy and effectiveness of internal AI governance policies, adherence to AI/GenAI related laws and regulations, and the robustness of AI-related ethical or compliance incident response frameworks.
+ Attract, develop, and retain talent; recommending staffing levels required to fulfil responsibilities effectively while establishing and adhering to talent management processes and compensation and performance management programs.
+ Work across IA to maximize the efficiency and effectiveness of resources.
+ Provide local site leadership encouraging engagement and collaboration across all IA organizations.
+ Perform control environment assessments and identify thematic issues and trends to improve controls and governance over the identification, measurement, management, and reporting of risks.
+ Champion horizon scanning to anticipate new regulatory, ethical, and societal challenges in AI/GenAI and translate them into practical audit priorities.
+ Promote auditability by design by advising product and engineering teams on controls, documentation, and governance structure needed to make AI systems inherently auditable.
+ Shape the future of AI audit practices by contributing to the development of new assurance methods for emerging risks (systemic bias propagation, synthetic data misuse)
+ Support and endorse the Quality Assurance (QA) function of IA, and resolve issues found by QA, improving audit processes and coverage.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable AI/Gen AI laws, rules and regulations (e.g. EU AI Act), adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
+ Represent IA in relevant governance forums including Boards and Committees.
+ Develop and maintain strong working relationships across other IA teams, Management Stakeholders (MSs), and Regulators.
+ Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit.
+ Engage regularly with MSs to understand emerging risks and help address escalations.
+ Pro-actively advise and assist MSs in considering risks and controls. Support the audit team in their interactions with MSs.
+ Participate and share relevant knowledge and insight, on an ongoing basis, within and across IA teams, to drive the consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance.
**What we will need from you**
**Qualifications**
+ 15+ experience in a related role.
+ Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
+ In-depth understanding of technical architecture, system engineering with AI/GenAI focus
+ Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering.
+ Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar. AI-related certifications are a plus.
+ Executive presence and expert in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner.
+ Ability to quickly comprehend the full risk implications of complex global issues, escalate to the appropriate level and provide advice and on pragmatic commercial solutions.
+ Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions to bring about positive outcomes.
+ Strong leadership skills including a track record of identifying and developing world class talent.
+ Experienced in leading large, dispersed and diverse professional teams.
+ Demonstrated success in business, functional and people management.
+ Consistently demonstrates clear and concise written and verbal communication.
+ Demonstrated ability to remain unbiased in a diverse working environment.
+ Effective negotiation skills.
**Education**
+ Bachelor's degree/University degree in decision science, computer science, data science, finance, accounting or a related field, or equivalent experience.
+ Master's degree preferred.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
**Take the next step in your career, apply for this role at Citi today**
_ i
---
**Job Family Group:**
Internal Audit
---
**Job Family:**
Audit
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Control Monitoring, Data Analysis, Industry Knowledge, Issue Management, Laws and Regulations, Professional Standards, Risk Management, Root Cause Analysis.
---
**Other Relevant Skills**
AI Architecture, AI Concepts, AI Frameworks, AI Governance, AI Security, Conversational AI, Data Engineering, Data Science, Generative AI, Internal Audit Development, Internal Audit Management, Oracle Cloud Infrastructure (OCI) Generative AI, Oracle Cloud Infrastructure (OCI) Generative AI Agents, Responsible AI, Technical Architecture.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
**Shape your Career with Citi**
Citi **Internal Audit (IA)** is a dynamic global function of over 2,500 professionals located across more than 60 countries, covering Citi's global businesses and service to clients and customers through its network in 98 countries. Through a culture of continuous improvement, Citi IA is focused on maintaining its position as a best-in-class IA function and is committed to investing in people, learning and development, innovation, and methodology programs. The Internal Audit mission is to provide independent, objective, reliable, valued and timely assurance to the Board, senior management and regulators of Citigroup and Citibank (and its subsidiaries), over the effectiveness of culture, ethical conduct, governance, risk management, and controls that mitigate current and evolving risks and to enhance the control environment. IA is a change agent within Citi to enhance the control culture of Citigroup worldwide and therefore support senior management decision making around the globe.
We're currently looking for a high caliber professional to join our team as **Audit Director - AI Technology, Cyber, Data and GenAI Engineering** **- Hybrid** (Internal Job Title: Director - C15) based in **Mumbai, India** . Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That's why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
+ We empower our employees to manage their financial well-being and help them plan for the future.
+ We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
**Role Overview:**
The Audit Director - AI Technology, Cyber, Data and GenAI Engineering is a senior level management position, reporting to the Chief Auditor Artificial Intelligence (AI) Assurance, responsible for managing a team of audit professionals with an overall objective to strategically direct audit activities and assessments of the risk and control environment for the adoption of AI/GenAI, specifically related to AI Technology, Cyber, Data and GenAI Engineering.
This role will primarily focus on AI Technology, Cyber, Data and GenAI Engineering with the overall objective of this role to ensure that Citi Internal Audit's approach to AI to position Citi IA as the leading IA function in the financial services industry.
**What you will do**
+ Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering, of high quality, within budget, and within the expected timelines.
+ Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team.
+ Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs.
+ Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design applicable to AI, GenAI and agentic AI.
+ Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure. This covers GPU and CPU usage patterns, compute and token cost optimization, efficient resource utilization, plugins and GenAI API ecosystems, infrastructure for evaluations and testing, version control, GenAI system lifecycle management, sandboxing environments, and promotion from development to production.
+ Assessing security and safety controls for AI, GenAI and agentic AI implementation. This will include reviewing cyber security controls, use-cases specific guardrails.
+ Assessing approaches for red-teaming, safety testing, alerting.
+ Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view.
+ Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
+ Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems, including per-prompt traces, tool-call audit trails, safety events, and dashboards/alerts with immutable log retention.
+ Evaluating resilience, disaster recovery of AI, GenAI and agentic systems, focusing on failure scenarios, recovery procedure. Ensuring AI, GenAI and agentic systems are designed to be resilient and meeting business RTO and RPO requirements.
+ Evaluating data pipelines, retrieval systems, and agentic workflows with attention to data integrity, privacy enforcement, misuse prevention, access management, encryption, resilience and recovery, and robustness under adversarial conditions such as data poisoning and denial-of-service attacks.
+ Assessing data engineering, quality, and lineage across structured and unstructured data, including governance and lifecycle management of data sources and outputs, with mechanisms such as watermarking.
+ Ensure timely delivery of comprehensive regulatory and internal audit issue validation, including issues arising from other external parties.
+ Evaluate the adequacy and effectiveness of internal AI governance policies, adherence to AI/GenAI related laws and regulations, and the robustness of AI-related ethical or compliance incident response frameworks.
+ Attract, develop, and retain talent; recommending staffing levels required to fulfil responsibilities effectively while establishing and adhering to talent management processes and compensation and performance management programs.
+ Work across IA to maximize the efficiency and effectiveness of resources.
+ Provide local site leadership encouraging engagement and collaboration across all IA organizations.
+ Perform control environment assessments and identify thematic issues and trends to improve controls and governance over the identification, measurement, management, and reporting of risks.
+ Champion horizon scanning to anticipate new regulatory, ethical, and societal challenges in AI/GenAI and translate them into practical audit priorities.
+ Promote auditability by design by advising product and engineering teams on controls, documentation, and governance structure needed to make AI systems inherently auditable.
+ Shape the future of AI audit practices by contributing to the development of new assurance methods for emerging risks (systemic bias propagation, synthetic data misuse)
+ Support and endorse the Quality Assurance (QA) function of IA, and resolve issues found by QA, improving audit processes and coverage.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable AI/Gen AI laws, rules and regulations (e.g. EU AI Act), adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
+ Represent IA in relevant governance forums including Boards and Committees.
+ Develop and maintain strong working relationships across other IA teams, Management Stakeholders (MSs), and Regulators.
+ Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit.
+ Engage regularly with MSs to understand emerging risks and help address escalations.
+ Pro-actively advise and assist MSs in considering risks and controls. Support the audit team in their interactions with MSs.
+ Participate and share relevant knowledge and insight, on an ongoing basis, within and across IA teams, to drive the consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance.
**What we will need from you**
**Qualifications**
+ 15+ experience in a related role.
+ Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
+ In-depth understanding of technical architecture, system engineering with AI/GenAI focus
+ Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering.
+ Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar. AI-related certifications are a plus.
+ Executive presence and expert in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner.
+ Ability to quickly comprehend the full risk implications of complex global issues, escalate to the appropriate level and provide advice and on pragmatic commercial solutions.
+ Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions to bring about positive outcomes.
+ Strong leadership skills including a track record of identifying and developing world class talent.
+ Experienced in leading large, dispersed and diverse professional teams.
+ Demonstrated success in business, functional and people management.
+ Consistently demonstrates clear and concise written and verbal communication.
+ Demonstrated ability to remain unbiased in a diverse working environment.
+ Effective negotiation skills.
**Education**
+ Bachelor's degree/University degree in decision science, computer science, data science, finance, accounting or a related field, or equivalent experience.
+ Master's degree preferred.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
**Take the next step in your career, apply for this role at Citi today**
_ i
---
**Job Family Group:**
Internal Audit
---
**Job Family:**
Audit
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Control Monitoring, Data Analysis, Industry Knowledge, Issue Management, Laws and Regulations, Professional Standards, Risk Management, Root Cause Analysis.
---
**Other Relevant Skills**
AI Architecture, AI Concepts, AI Frameworks, AI Governance, AI Security, Conversational AI, Data Engineering, Data Science, Generative AI, Internal Audit Development, Internal Audit Management, Oracle Cloud Infrastructure (OCI) Generative AI, Oracle Cloud Infrastructure (OCI) Generative AI Agents, Responsible AI, Technical Architecture.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.
3
AI & Business Technology Writer
CanadianSME Small Business Magazine
Posted 5 days ago
Job Viewed
Job Description
We are looking for a talented writer with exceptional critical thinking and analysis skills to create business content that educates, informs and entertains. As a valued member of our content team, you will create high-quality content that readers will truly enjoy.
The content writer will create blog posts, social media captions, and research articles on business topics. Therefore, prior experience writing about business is an asset. Blog posts will be between 500 and 1000+ words, depending on the subject.
Salary up to 50,000 INR based on qualifications and experience.
Timings; 9 hours job ; timing will be discussed during the interview. THIS IS A FULL-TIME JOB; WE ARE NOT LOOKING FOR FREELANCERS.
Visit our websites,
Must submit 3-5 relevant writing samples (B2B tech or AI content is highly preferred) to and
Also, as the next step, we’d like to invite you to complete an interview assignment that will help us better understand your skills and approach to the role. The assignment is designed to assess skills/qualifications relevant to the job, e.g., Communication & content writing skills etc.)
Our mandate is clear: Strategy and Insights for the AI-Powered Business. We don't just cover the "what"; we show our readers the "how-to" and the "why now."
The Opportunity: Become Our Daily Content Engine
We are seeking a highly skilled and prolific AI & Business Technology Writer to serve as the core content engine for the magazine's daily digital output. This role is perfect for a self-starter with a journalistic mindset who can translate complex AI concepts into immediate, actionable intelligence for Canadian entrepreneurs.
This role requires a dedicated approach to a high-volume, quality-driven workflow: one published article and two social posts per day, driven by one daily email interview.
Core Responsibilities
- Daily Expert Interviewing: Conduct one focused, high-impact email interview with a Canadian business leader, AI expert, or tech founder every workday to gather unique insights.
- Daily Article Production: Transform raw interview material into one meticulously researched, engaging article for the website daily (500–800 words), ensuring high editorial standards.
- Social Content Repurposing: Strategically repurpose the best quotes and most actionable takeaways from the daily article into two high-engagement social media posts (primarily for LinkedIn and X).
- Research & Vetting: Conduct deep-dive research into Canadian AI policy, adoption trends, B2B tools, and ethical considerations, ensuring all content is factually accurate and relevant to the Canadian SME landscape.
- SEO Optimization: Apply best-practice SEO principles (keywords, H-tags, internal linking) to maximize the discoverability and long-term value of all published content.
- Required Skills & Qualifications
- Exceptional Writing & Interviewing: Proven ability to write clearly, concisely, and persuasively for a B2B audience. Must have experience conducting professional interviews (digital or in-person).
- Deep Tech Literacy: Strong understanding of core AI concepts (Generative AI, LLMs, Machine Learning) and current technology trends impacting business (SaaS, cloud, automation).
- Business Acumen: Ability to connect complex technology to tangible business outcomes (ROI, efficiency, sales, marketing). Experience writing for an SME audience is a major asset.
- Proactive Work Ethic: A self-motivated, organized professional capable of managing a non-negotiable daily deadline and a high-volume content production schedule.
- Canadian Focus: Familiarity with the Canadian business ecosystem, local tech hubs (Toronto, Montreal, Vancouver), and a keen interest in Canadian policy and innovation.
- Education: Bachelor’s degree in Journalism, Communications, English, or a relevant technical field (Computer Science, Engineering, etc.).
Requirements
• Must have in-depth knowledge of niche/industry or be able to research and write about it at an advanced level
• Superior grammar skills and close attention to detail as our readers are native English speakers
• Advanced English writing skills
• University degree or college diploma preferably in journalism, public relations, English, or marketing.
• 4+ years experience in a related field in writing, communications, or content capacity agency or other professional experience is looking for a talented writer with exceptional critical thinking and analysis skills to create business content that educates, informs and entertains. As a valued member of our content team, you will create high-quality content that readers will truly enjoy.
This advertiser has chosen not to accept applicants from your region.
4
Director, AI/ML Technology and Architecture
Hyderabad, Andhra Pradesh
Warner Bros. Discovery
Posted 2 days ago
Job Viewed
Job Description
**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role **:**
As the **Director, AI/ML Technology and Architecture** at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry.
Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision.
This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact.
**1.AI/ML Architecture & Strategy**
+ Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems.
+ Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies.
+ Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization.
+ Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies.
+ Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain.
**2. AI/ML Platform & Infrastructure**
+ Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring.
+ Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery.
+ Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management.
+ Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform.
+ Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability.
**3. AI/ML Model Development & Deployment**
+ Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection.
+ Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring.
+ Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process.
+ Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance.
+ Drive the adoption of AI/ML models across the organization through clear communication, training, and support.
4. **Team Leadership & Management**
+ Lead and mentor a high-performing team of AI/ML engineers and architects.
+ Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth.
+ Recruit, hire, and onboard top talent in the field of AI/ML.
+ Provide guidance and support to team members on technical challenges and career development.
+ Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness.
**5. Governance and Compliance**
+ Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies.
+ Define processes for monitoring, auditing, and improving AI models in production.
+ Advocate for responsible AI practices within the organization.
Qualifications & Experiences:
**Academic Qualifications:**
+ Master's or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university.
+ Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus.
**Professional Experience:**
+ **1 2 + years** of experience in AI/ML technologies, with at least **8 + years in a leadership role** overseeing large-scale AI/ML projects and teams.
+ Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry.
+ Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch , Keras , etc.).
+ Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures.
+ Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations.
**Technical Skills:**
+ Expertise in AI/ML model development, architecture design, and advanced analytics.
+ Deep understanding of cloud-native AI technologies, big data systems, and distributed computing.
+ Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD).
+ Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries.
+ In-depth knowledge of data engineering, data pipelines, and data lake architecture.
**Other Skills:**
+ Exceptional leadership and people management skills, with experience managing cross-functional teams.
+ Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders.
+ Deep understanding of AI ethics, privacy, and governance principles.
+ Strong problem-solving abilities, with a passion for innovation and creativity.
+ Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role **:**
As the **Director, AI/ML Technology and Architecture** at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry.
Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision.
This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact.
**1.AI/ML Architecture & Strategy**
+ Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems.
+ Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies.
+ Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization.
+ Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies.
+ Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain.
**2. AI/ML Platform & Infrastructure**
+ Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring.
+ Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery.
+ Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management.
+ Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform.
+ Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability.
**3. AI/ML Model Development & Deployment**
+ Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection.
+ Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring.
+ Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process.
+ Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance.
+ Drive the adoption of AI/ML models across the organization through clear communication, training, and support.
4. **Team Leadership & Management**
+ Lead and mentor a high-performing team of AI/ML engineers and architects.
+ Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth.
+ Recruit, hire, and onboard top talent in the field of AI/ML.
+ Provide guidance and support to team members on technical challenges and career development.
+ Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness.
**5. Governance and Compliance**
+ Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies.
+ Define processes for monitoring, auditing, and improving AI models in production.
+ Advocate for responsible AI practices within the organization.
Qualifications & Experiences:
**Academic Qualifications:**
+ Master's or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university.
+ Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus.
**Professional Experience:**
+ **1 2 + years** of experience in AI/ML technologies, with at least **8 + years in a leadership role** overseeing large-scale AI/ML projects and teams.
+ Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry.
+ Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch , Keras , etc.).
+ Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures.
+ Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations.
**Technical Skills:**
+ Expertise in AI/ML model development, architecture design, and advanced analytics.
+ Deep understanding of cloud-native AI technologies, big data systems, and distributed computing.
+ Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD).
+ Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries.
+ In-depth knowledge of data engineering, data pipelines, and data lake architecture.
**Other Skills:**
+ Exceptional leadership and people management skills, with experience managing cross-functional teams.
+ Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders.
+ Deep understanding of AI ethics, privacy, and governance principles.
+ Strong problem-solving abilities, with a passion for innovation and creativity.
+ Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
This advertiser has chosen not to accept applicants from your region.
5
AI Development Intern
700072 Kolkata, West Bengal
₹15000 Monthly
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Embark on a transformative journey as an AI Development Intern with our esteemed client, a leading innovator in artificial intelligence solutions. This exciting opportunity is based in the vibrant city of Kolkata, West Bengal, IN . As an intern, you will be immersed in cutting-edge AI projects, contributing to the development and refinement of intelligent systems. Your role will involve assisting senior AI engineers and researchers in various stages of the development lifecycle, from data preprocessing and model training to algorithm implementation and performance evaluation. You will gain hands-on experience with popular AI frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Key responsibilities include:
Key responsibilities include:
- Supporting the research and development of machine learning models for various applications.
- Assisting in the collection, cleaning, and annotation of large datasets.
- Implementing and testing AI algorithms under the guidance of experienced professionals.
- Documenting research findings, code, and project progress.
- Collaborating with team members to troubleshoot and resolve technical challenges.
- Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
- Participating in team meetings and contributing innovative ideas.
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6
Enterprise Technology - AI Engineer
Hyderabad, Andhra Pradesh
Teradata
Posted 2 days ago
Job Viewed
Job Description
**Our Company**
**At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.**
**What You'll Do**
+ Design, develop, and deploy AI/ML models and Generative AI solutions to enhance enterprise applications (CRM, ERP, CX, Finance).
+ Build and integrate machine learning pipelines into existing business systems and workflows.
+ Collaborate with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization.
+ Fine-tune and optimize LLMs (Large Language Models) and other ML models for enterprise use cases.
+ Develop APIs and microservices to expose AI capabilities to broader platforms.
+ Ensure models meet requirements for accuracy, performance, scalability, and compliance (e.g., FedRAMP, GDPR).
+ Monitor, retrain, and improve deployed models using feedback loops and data pipelines.
+ Stay current with emerging AI/ML tools, frameworks, and best practices.
**Who You'll Work With**
+ Product Owners & Business Stakeholders - Understanding use cases and defining AI feature requirements.
+ Engineering & QA Teams - Integrating AI solutions into enterprise platforms and ensuring quality delivery.
+ Data Engineers & Data Scientists - Collaborating on model training, feature engineering, and data pipelines.
+ Cloud & Security Teams - Ensuring AI deployments meet compliance, governance, and scalability standards.
+ Global AI/Automation Practices - Aligning with corporate AI strategy and innovation initiatives.
**What Makes You a Qualified Candidate**
+ 3-6 years of experience in AI/ML development or applied data science.
+ Strong programming skills in Python, Java, or Scala with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
+ Hands-on experience with LLMs, NLP, or Generative AI solutions.
+ Familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
+ Experience with APIs, microservices, and integrating AI into enterprise SaaS platforms.
+ Knowledge of SQL/NoSQL databases and data pipelines (Spark, Kafka, Airflow).
+ Preferred: experience with Salesforce AI, ServiceNow AI, or ERP AI extensions.
+ Strong problem-solving, debugging, and optimization skills.
**What You'll Bring**
+ A passion for AI innovation and applying it to real-world enterprise challenges.
+ Curiosity and adaptability to learn new models, frameworks, and enterprise use cases.
+ Ability to balance technical depth with business value, ensuring AI delivers measurable outcomes.
+ Strong collaboration skills to work with cross-functional global teams.
+ A data-driven mindset, using experimentation and metrics to guide improvements.
+ Commitment to responsible AI practices (bias reduction, explainability, compliance).
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
**At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.**
**What You'll Do**
+ Design, develop, and deploy AI/ML models and Generative AI solutions to enhance enterprise applications (CRM, ERP, CX, Finance).
+ Build and integrate machine learning pipelines into existing business systems and workflows.
+ Collaborate with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization.
+ Fine-tune and optimize LLMs (Large Language Models) and other ML models for enterprise use cases.
+ Develop APIs and microservices to expose AI capabilities to broader platforms.
+ Ensure models meet requirements for accuracy, performance, scalability, and compliance (e.g., FedRAMP, GDPR).
+ Monitor, retrain, and improve deployed models using feedback loops and data pipelines.
+ Stay current with emerging AI/ML tools, frameworks, and best practices.
**Who You'll Work With**
+ Product Owners & Business Stakeholders - Understanding use cases and defining AI feature requirements.
+ Engineering & QA Teams - Integrating AI solutions into enterprise platforms and ensuring quality delivery.
+ Data Engineers & Data Scientists - Collaborating on model training, feature engineering, and data pipelines.
+ Cloud & Security Teams - Ensuring AI deployments meet compliance, governance, and scalability standards.
+ Global AI/Automation Practices - Aligning with corporate AI strategy and innovation initiatives.
**What Makes You a Qualified Candidate**
+ 3-6 years of experience in AI/ML development or applied data science.
+ Strong programming skills in Python, Java, or Scala with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
+ Hands-on experience with LLMs, NLP, or Generative AI solutions.
+ Familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
+ Experience with APIs, microservices, and integrating AI into enterprise SaaS platforms.
+ Knowledge of SQL/NoSQL databases and data pipelines (Spark, Kafka, Airflow).
+ Preferred: experience with Salesforce AI, ServiceNow AI, or ERP AI extensions.
+ Strong problem-solving, debugging, and optimization skills.
**What You'll Bring**
+ A passion for AI innovation and applying it to real-world enterprise challenges.
+ Curiosity and adaptability to learn new models, frameworks, and enterprise use cases.
+ Ability to balance technical depth with business value, ensuring AI delivers measurable outcomes.
+ Strong collaboration skills to work with cross-functional global teams.
+ A data-driven mindset, using experimentation and metrics to guide improvements.
+ Commitment to responsible AI practices (bias reduction, explainability, compliance).
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
This advertiser has chosen not to accept applicants from your region.
7
Deep Learning Engineer
Bengaluru, Karnataka
AIMonk Labs Private Ltd
Posted 5 days ago
Job Viewed
Job Description
Job description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read. If this excites you, we might love you.
We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.
Key Technologies:
- Must be an expert in Python and Numpy.
- Experience with Tensorflow/Keras/Pytorch is required.
- Unsatiable hunger for writing beautiful code.
- Knowledge of python design-patterns.
- Some experience with C++ is preferred.
- Knowledge working closely with version control (GIT).
- Excellent communication skills and being able to work independently.
- Strong problem-solving and coding skills override everything else written above.
About AIMonk:
Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.
This advertiser has chosen not to accept applicants from your region.
8
Business Solutions Lead – Technology & AI
Bengaluru, Karnataka
Indegene
Posted 5 days ago
Job Viewed
Job Description
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out
Looking to jump-start your career?
We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast track career where you can grow along with Indegene’s high-speed growth.
We are purpose driven. We enable healthcare organizations be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
If this excites you, then apply below.
Business Solutions Lead – Technology & AI
You will be responsible to
Responsibilities:
- Strategize, lead, and design functional and technical solution development for new business acquisition activities related to Indegene’s tech solutions spectrum, including digital engineering, platform managed services, Salesforce, Adobe Solutions, GenAI, Custom AI solutions and support services .
- Demonstrate thought leadership, solution innovation, and architecture design for RFPs and other client engagement avenues.
- Evaluate client requirements in collaboration with internal SMEs/tech experts, aligning them with Indegene's service propositions, operating model designs, effort estimations, SLA definitions, etc.
- Define frameworks and solution models for platform migration, integration, implementation, managed services, DevOps, and platform services across Veeva, Salesforce, Adobe, Martech, Snowflake, GenAI, Amazon Cloud
- Conduct discovery sessions with customers to shape opportunities and contribute to the overall pipeline development.
- Define pricing models, construct solutions, and orchestrate alignment between clients and internal stakeholders.
- Drive end-to-end bid management for large deals, author proposal responses, and actively lead proposal defense discussions, pricing negotiations, and SOW closures.
- Develop a deep understanding of our services, identify opportunities for business solutions, and propose value-add initiatives while exploring avenues for business expansion.
- Lead ideation sessions with internal leadership teams to identify innovative win themes and value propositions during proposal development.
- Articulate Indegene's value proposition to clients through written proposals and live presentations.
- Strategically align Indegene's tech offerings with emerging trends, including GenAI-driven solutions and digital transformation initiatives .
- Define support service models and frameworks for managing ongoing platform operations, including L1-L3 support, incident management, and performance optimization.
- Navigate complex decision-making among a large set of cross-functional stakeholders.
Key Skills & Competencies:
- Proven experience in platform services, digital engineering, support services, and emerging technologies like GenAI .
- Strong expertise in solutioning, pricing models, and bid management for large-scale tech solutions.
- Excellent communication and client management skills, with the ability to clearly articulate value propositions.
- Ability to collaborate effectively with internal and external stakeholders to drive consensus and deliver tailored solutions.
Must have:
- MBA graduate with overall 5-7 years’ experience
- Prior experience in managing complex solution development for managed services, platform operations, tech integrations areas are mandatory
- Hands-on experience with define operating model, integration roadmap, migration plan creation relevant for technology engineering and digital operations area (CRM, Digital Engineering, DAMS, Support Services).
- Experienced in pricing estimations, client discovery discussions and solution architecture
- Hands-on experience in bid management, solution design, client presentations and legal agreements (SOWs)
- Prior experience in creating new solutions, POVs and industry benchmarking collateral related to technology areas
- Exposure/understanding of pharma ecosystem will be preferred.
- Skills: Excellent communication and presentation skills, along with an analytical and problem-solving mindset.
EQUAL OPPORTUNITY
Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.
This advertiser has chosen not to accept applicants from your region.
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