1655 AI Architect jobs in Bengaluru
ai architect
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Job Title: Gen AI Architect
Experience Level: Minimum 10 years, Maximum 13 years
Job Description:
We are seeking a highly skilled and experienced AI Architect to join our growing team. The ideal candidate will possess a strong background in artificial intelligence, machine learning, and generative AI, with expertise in designing and developing advanced AI solutions. You will work collaboratively with cross-functional teams to create innovative AI models and applications that address complex business challenges.
**Key Responsibilities:**
Design and implement scalable AI and machine learning solutions in line with business requirements.
Collaborate with product managers, data scientists, and engineers to define technical architecture and framework for AI applications.
Develop and optimize AI models using Python, Flask, and Langchain for deployment in cloud platforms, specifically Azure Open AI.
Stay current with the latest AI trends and technologies, and bring innovative ideas to the team.
Conduct code reviews, provide mentorship to junior team members, and uphold best practices in software development.
Analyze and troubleshoot issues that arise during development and deployment processes.
Communicate technical concepts clearly to both technical and non-technical stakeholders.
**Required Skills and Qualifications:**
Minimum 10 years and a maximum of 13 years of experience in software development, specifically in AI and machine learning.
Proven expertise in generative AI, artificial intelligence, and machine learning methodologies.
Strong hands-on experience with Azure Open AI services, and familiarity with deploying machine learning models in cloud environments.
Proficiency in Python and relevant frameworks (Flask, Langchain).
Experience in designing AI architectures, including data pipelines and preprocessing techniques.
Excellent problem-solving skills and a strong analytical mindset.
Ability to work collaboratively in a team environment and communicate effectively with diverse stakeholders.
Relevant degree in Computer Science, Engineering, or a related field.
AI Architect
Posted 3 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a **Senior Agentic AI Architect** at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You'll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.
You'll engage deeply with business leaders and stakeholders-translating strategic objectives into agentic AI architectures. Instead of just building models, you'll define system blueprints for **multi-agent ecosystems** that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.
In this role, you'll take ownership of the **end-to-end solution lifecycle** : business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)** , orchestration frameworks, and LLMOps practices, you'll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready** .
Beyond prototypes, you'll ensure agentic AI becomes **embedded in enterprise processes** -enabling automation, decision augmentation, and continuous value realization. You'll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust** . As a senior leader, you'll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.
If you're ready to **set the standard for enterprise agentic AI adoption** , architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we'll push the boundaries of what's possible and unlock the next generation of enterprise transformation.
**Who You Are**
**Who You Are**
You are a **strategic thinker and technical leader** who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset** -constantly exploring new frameworks and approaches to agentic AI. You're **customer-obsessed** , ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership** .
**Required Skills and Experience:**
+ Minimum 12 - 16 years of overall experience in IT industry.
+ Proven experience designing and deploying **enterprise-scale agentic AI architectures** , multi-agent systems, or autonomous orchestration solutions.
+ Expertise in **AI/ML development, LLM orchestration, and agent frameworks** such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
+ Strong architectural background in **cloud-native AI platforms** (Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures** .
+ Demonstrated leadership in **AI solution design** , balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
+ Exceptional **communication and influence skills** , with the ability to guide executive stakeholders and mentor engineering teams.
+ Track record of managing **multiple enterprise AI initiatives simultaneously** , ensuring consistency, quality, and business alignment.
**Preferred Skills and Experience:**
+ Graduate / Postgraduate in Computer Science, computer engineering ,Artificial Intelligence, Data Science, or related field.
+ Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
+ Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns** .
+ Familiarity with **enterprise AI governance frameworks** including security, privacy, observability, and ethical AI.
+ Domain expertise in **regulated or complex industries** such as financial services, healthcare, cybersecurity, or IT operations.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
AI Architect
Posted 3 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a **Senior Agentic AI Architect** at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You'll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.
You'll engage deeply with business leaders and stakeholders-translating strategic objectives into agentic AI architectures. Instead of just building models, you'll define system blueprints for **multi-agent ecosystems** that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.
In this role, you'll take ownership of the **end-to-end solution lifecycle** : business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)** , orchestration frameworks, and LLMOps practices, you'll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready** .
Beyond prototypes, you'll ensure agentic AI becomes **embedded in enterprise processes** -enabling automation, decision augmentation, and continuous value realization. You'll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust** . As a senior leader, you'll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.
If you're ready to **set the standard for enterprise agentic AI adoption** , architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we'll push the boundaries of what's possible and unlock the next generation of enterprise transformation.
**Who You Are**
**Who You Are**
You are a **strategic thinker and technical leader** who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset** -constantly exploring new frameworks and approaches to agentic AI. You're **customer-obsessed** , ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership** .
**Required Skills and Experience:**
+ Minimum 12 - 16 years of overall experience in IT industry.
+ Proven experience designing and deploying **enterprise-scale agentic AI architectures** , multi-agent systems, or autonomous orchestration solutions.
+ Expertise in **AI/ML development, LLM orchestration, and agent frameworks** such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
+ Strong architectural background in **cloud-native AI platforms** (Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures** .
+ Demonstrated leadership in **AI solution design** , balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
+ Exceptional **communication and influence skills** , with the ability to guide executive stakeholders and mentor engineering teams.
+ Track record of managing **multiple enterprise AI initiatives simultaneously** , ensuring consistency, quality, and business alignment.
**Preferred Skills and Experience:**
+ Graduate / Postgraduate in Computer Science, computer engineering ,Artificial Intelligence, Data Science, or related field.
+ Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
+ Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns** .
+ Familiarity with **enterprise AI governance frameworks** including security, privacy, observability, and ethical AI.
+ Domain expertise in **regulated or complex industries** such as financial services, healthcare, cybersecurity, or IT operations.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
AI Architect
Posted 3 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a **Senior Agentic AI Architect** at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You'll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.
You'll engage deeply with business leaders and stakeholders-translating strategic objectives into agentic AI architectures. Instead of just building models, you'll define system blueprints for **multi-agent ecosystems** that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.
In this role, you'll take ownership of the **end-to-end solution lifecycle** : business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)** , orchestration frameworks, and LLMOps practices, you'll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready** .
Beyond prototypes, you'll ensure agentic AI becomes **embedded in enterprise processes** -enabling automation, decision augmentation, and continuous value realization. You'll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust** . As a senior leader, you'll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.
If you're ready to **set the standard for enterprise agentic AI adoption** , architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we'll push the boundaries of what's possible and unlock the next generation of enterprise transformation.
**Who You Are**
**Who You Are**
You are a **strategic thinker and technical leader** who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset** -constantly exploring new frameworks and approaches to agentic AI. You're **customer-obsessed** , ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership** .
**Required Skills and Experience:**
+ Minimum 12 - 16 years of overall experience in IT industry.
+ Proven experience designing and deploying **enterprise-scale agentic AI architectures** , multi-agent systems, or autonomous orchestration solutions.
+ Expertise in **AI/ML development, LLM orchestration, and agent frameworks** such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
+ Strong architectural background in **cloud-native AI platforms** (Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures** .
+ Demonstrated leadership in **AI solution design** , balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
+ Exceptional **communication and influence skills** , with the ability to guide executive stakeholders and mentor engineering teams.
+ Track record of managing **multiple enterprise AI initiatives simultaneously** , ensuring consistency, quality, and business alignment.
**Preferred Skills and Experience:**
+ Graduate / Postgraduate in Computer Science, computer engineering ,Artificial Intelligence, Data Science, or related field.
+ Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
+ Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns** .
+ Familiarity with **enterprise AI governance frameworks** including security, privacy, observability, and ethical AI.
+ Domain expertise in **regulated or complex industries** such as financial services, healthcare, cybersecurity, or IT operations.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
AI Architect
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.
2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.
3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.
4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics.
5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.
6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.
7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.
8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.
9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.
10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.
11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments.
Qualifications and Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.
• Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
• Streamlit -- Python
• Generative AI
• HuggingFace , OpenAi and any Custom Model development experience
• Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• In-depth knowledge of machine learning techniques, algorithms, and model evaluation.
• Familiarity with big data technologies, cloud platforms, and distributed computing.
• Excellent problem-solving abilities and analytical thinking.
• Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.
AI Architect
Posted 2 days ago
Job Viewed
Job Description
Senior Innovation Architect
Job Description Overview
A Senior Innovation Architect is a client-facing technology leader responsible for driving high-impact innovation within enterprise organizations. In a technical services company that builds leveraged innovation pods , this role works closely with clients to identify transformative use cases and rapidly prototype solutions. The Senior Innovation Architect ensures all innovative solutions align with the client’s security requirements and enterprise architecture standards, while spearheading projects in cutting-edge domains like agentified AI, conversational AI, and enterprise automation . The position demands a strong blend of technical expertise in AI/ML and automation, enterprise system knowledge, and excellent stakeholder management skills to bridge business goals with emerging technologies.
Key Responsibilities
- Innovation Use Case Identification: Engage with client stakeholders to uncover and prioritize high-impact innovation opportunities. Analyze business challenges and identify use cases where emerging technologies (AI, automation, analytics ) can deliver significant value. Develop innovation roadmaps aligned to client business goals.
- Solution Architecture & Alignment: Design end-to-end solutions for approved innovation use cases, creating solid architectures that balance novelty with feasibility. Ensure all solutions adhere to the client’s security policies and enterprise architecture standards (compliance with data privacy, identity management, etc. Work with client Enterprise Architecture and Security teams to obtain necessary design approvals and ensure governance compliance.
- Lead Innovation Pods: Lead cross-functional “innovation pods” – small, agile teams – to rapidly develop prototypes and pilot solutionsi . Coordinate developers, data scientists, domain SMEs, and designers in an autonomous pod to deliver proofs-of-concept and MVPs using agile methodologies. Iterate on solutions based on feedback and evolving requirements.
- Technical Leadership in AI & Automation: Serve as the subject matter expert in emerging technologies. Guide projects focused on:
- Agentified AI: Implement AI-driven agents or autonomous processes that can perform tasks or decision-making on behalf of users.
- Conversational AI: Develop intelligent chatbots and voice assistants for enterprise use (customer service bots, virtual assistants, etc.).
- Enterprise Automation: Drive process automation initiatives (e.g. RPA, workflow orchestration, intelligent BPA) to streamline operations.
- Provide hands-on technical direction and architectural guidance in these domains, ensuring solutions are scalable and integrate with existing systems.
- Cross-Platform Integration: Oversee the integration of innovative solutions with enterprise platforms and data sources. Work across diverse technologies – for example, embedding AI/automation into Microsoft and Google Cloud ecosystems, ServiceNow workflows, Salesforce and other CRM systems, Workday, Oracle ERP, or healthcare systems – as needed by the client environment. Ensure interoperability and data flow between new solutions and legacy systems through APIs, microservices, or middleware.
- Client Collaboration & Management: Act as a primary point of contact for innovation projects with clients. Facilitate workshops and ideation sessions to shape solution concepts. Manage stakeholder expectations through clear communication of project scope, timelines, and impact. Provide regular updates and demonstrations of progress to client executives. Ensure strong client buy-in and change management for adopting new innovations.
- Alignment with Compliance & Standards: Navigate enterprise processes to get innovations from idea to deployment. Work within client architecture review boards, compliance reviews, and security assessments to ensure solutions meet regulatory and data security standards (e.g. GDPR, HIPAA in healthcare, ISO 27001) and adhere to IT governance. Adjust solution designs as needed to address any compliance or risk concerns.
- ROI Analysis & Business Case: For each innovation initiative, contribute to defining KPIs and success metrics. Help prepare business cases or ROI analyses to demonstrate the expected benefits (cost savings, efficiency gains, revenue impact) of the innovative solution. Track outcomes from pilot projects and use data to justify scaling successful innovations across the organization.
- Mentoring & Knowledge Sharing: Mentor junior architects and technical team members in new technologies and architecture best practices. Promote a culture of innovation and experimentation within both the internal team and the client organization. Document insights, lessons, and reusable frameworks from projects to leverage across future innovation pods .
Required Qualifications & Experience
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Advanced degrees or relevant certifications (e.g. in AI/ML or Enterprise Architecture ) are a plus.
- Experience: Approximately 8–10 years of experience working with cutting-edge technologies in enterprise environments. This should include hands-on architecture or development of AI/ML solutions, intelligent automation, and systems integration projects. Prior roles could be in solution architecture, innovation labs, or enterprise architecture functions.
- AI/ML Expertise: Strong background in artificial intelligence and machine learning. Experience designing or implementing solutions such as predictive analytics, natural language processing, conversational AI (chatbots) , or generative AI applications. Familiarity with AI frameworks (TensorFlow, PyTorch) and AI cloud services (Azure AI, Google Vertex AI, AWS ML services, etc.).
- Automation & Integration: Proven experience with enterprise automation tools and integration techniques. This may include RPA platforms (e.g. UiPath, Automation Anywhere), workflow automation, business process management suites, or custom scripting to integrate systems. Ability to design integrations via APIs, ETL pipelines, message queues, or middleware to connect heterogeneous systems.
- Enterprise Systems Knowledge: Broad understanding of enterprise application landscapes – for example, experience working with or integrating SaaS platforms like ServiceNow (ITSM workflows), Salesforce (CRM), Workday (HRIS), Oracle or SAP (ERP), and industry-specific systems (such as EHRs in healthcare). Able to quickly learn new platforms’ capabilities and constraints to design compatible innovative solutions.
- Architecture & Security Acumen: Deep knowledge of enterprise architecture principles and design patterns. Familiarity with architecture frameworks (TOGAF or similar) and cloud architecture best practices. Experience navigating architecture governance, compliance, and data security in large organizations – e.g. understanding data protection policies, identity and access management, network security basics, and regulatory constraints that affect solution design.
- Project Leadership: Demonstrated ability to lead technology projects or innovation initiatives end-to-end. Skilled in agile project management and comfortable overseeing fast-paced prototype development. Able to coordinate cross-functional teams (developers, analysts, UX, etc.) and external vendors if required.
- Communication & Stakeholder Management: Excellent client-facing communication skills. Proven ability to engage with both technical and non-technical stakeholders – from engineering teams to C-suite executives. Strong presentation and storytelling skills to articulate vision and technical concepts in business terms. Experience in managing stakeholder expectations and securing buy-in for new ideas.
- Problem-Solving & Innovation Mindset: A creative thinker who stays updated on emerging tech trends. Passion for experimenting with new tools and approaches. Comfortable with a “fail-fast” mindset to quickly prototype, learn, and iterate. Strong analytical and problem-solving skills to devise innovative solutions to complex business problems.
- Adaptability: Experience working in ambiguous, evolving environments. Ability to adapt to different industries and client contexts quickly. Enthusiasm for continuous learning and upskilling in fast-moving technology domains.
Skills Checklist
- AI & Machine Learning: Proficient in AI/ML concepts (deep learning, NLP, computer vision) and familiar with frameworks like TensorFlow or PyTorch. Experience with conversational AI (chatbot development) and AI agent frameworks is highly desirable.
- Generative AI Tools: Hands-on exposure to generative AI models (e.g. GPT-4, DALL·E) and their applications. Ability to leverage large language models and AI APIs to build intelligent agents or automation.
- Cloud Platforms: Strong knowledge of at least one major cloud platform (Microsoft Azure, Google Cloud, or AWS). Able to use cloud services for AI (Azure Cognitive Services, GCP AI Platform, etc.), and design cloud-native architectures for scalability.
- Enterprise Software & Integration: Familiar with enterprise software ecosystems including CRM, ERP, ITSM, and HR systems. Skilled in integrating new solutions with existing systems via RESTful APIs, webhooks, middleware, or iPaaS tools.
- Automation Technologies: Experience with robotic process automation tools, workflow orchestration, and scripting. Understands how to automate data pipelines or business processes securely and reliably.
AI Architect
Posted 2 days ago
Job Viewed
Job Description
AI Architect
Location : - Ascendion Office
2nd Floor, Prestige Blue Chip Software Park Tower-1, PRESTIGE BLUE CHIP SOFTWARE PARK, Marigowda Rd, Dairy Colony, Adugodi, Bengaluru, Karnataka
Job Summary:
Role Purpose
- Own the technical direction, solution integrity, and day-to-day engineering leadership for ongoing client projects in the Generative AI space. The architect guides cross-functional squads from design through production, ensuring scalable, maintainable, and compliant solutions.
Key Responsibilities
Solution Architecture
- Design end-to-end architecture covering React-TypeScript front-ends, FastAPI micro-services, Python business logic, Azure data layers, and OpenAI API integration.
- Define interface contracts, event flows, observability standards, and non-functional requirements (quality, security, data residency, performance)
Generative AI
- Establish prompt / response validation, abuse mitigation, and PII safeguards for GPT-4o -class models
- Benchmark chat completion and Responses API, embedding models and vector index strategies; tune retrieval pipelines for factual accuracy
Technical Leadership
- Convert epics to WBS , map to Jira boards, and drive backlog refinement with BAs
- Provide hands-on code reviews across UI, API, and data layers; resolve system-wide blockers
Delivery Management
- Align sprint goals with contractual milestones, working with Program Director;
- Coordinate SIT/UAT, oversee automated regression with Pytest , Jest / Playwright , and CI/CD pipelines
Stakeholder Engagement
- Present solution trade-offs to client architects and execs; adjudicate scope vs. risk
- Mentor 10-15 engineers; run architecture guilds and knowledge-sharing sessions
Minimum Qualifications
- 12+ years designing and shipping full-stack SaaS or data platforms, with 5 + years in architectural leadership.
- Proven production use of LLM-powered features (e.g., RAG, multi-agent orchestration).
- Deep expertise in React , TypeScript , FastAPI , Python 3.11+ , asynchronous patterns, and REST/GraphQL.
- Hands-on with Azure PaaS (Blob, Functions, ADF, ACR, AKS) and IaC (Bicep/Terraform).
- Strong grasp of test automation—Pytest , Jest , Selenium / Playwright —and quality gates.
- Familiarity with data modeling, SQL/NoSQL (Azure SQL, Cosmos DB), vector stores, and Delta Lake.
- Demonstrated ability to lead distributed teams and interface with C-level stakeholders.
Preferred Qualifications
- Prior work on financial-services analytics or regulatory environments.
- Experience hardening Azure OpenAI deployments for enterprise use.
- Exposure to Observability stacks (OpenTelemetry, Prometheus, Grafana) and threat modelling
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AI Architect
Posted today
Job Viewed
Job Description
Company: Technodysis Pvt Ltd
Location: Bangalore
Experience: Years
Notice Period: Days
Job Description:
We are looking for an experienced AI Architect to design and lead cutting-edge AI/ML solutions across our products and platforms. This role is ideal for professionals who are passionate about Large Language Models (LLMs), agentic frameworks, and enterprise-grade AI architecture.
Key Responsibilities:
- Define and own the overall AI solution architecture, ensuring scalability, security, and performance.
- Lead the design and delivery of LLM-driven applications and intelligent agents.
- Drive strategy for model selection, prompt engineering, fine-tuning, and optimization.
- Architect integrations between AI systems, APIs, tools, and enterprise data sources.
- Establish best practices for coding, version control, CI/CD, and MLOps pipelines.
- Collaborate with product, engineering, and data teams to deliver high-impact solutions.
- Mentor and guide developers/data scientists, fostering a culture of innovation and continuous learning.
- Keep abreast of the latest advancements in GenAI, agentic frameworks, and AI research.
Required Skills & Qualifications:
- Bachelors or Masters in Computer Science / Artificial Intelligence / Machine Learning or related field.
- 12 15 years of IT experience with at least 5 years in AI/ML architecture & leadership.
- Expert programming skills in Python; solid experience with TensorFlow, PyTorch, JAX.
- Hands-on expertise with LLMs, prompt engineering, fine-tuning, RAG, and frameworks such as LangChain, AutoGen, CrewAI.
- Strong knowledge of vector databases (Pinecone, Weaviate, FAISS) and knowledge graphs.
- Experience in cloud platforms (AWS / Azure / GCP) and containerized environments (Docker, Kubernetes).
- Proven ability to architect and scale enterprise-grade AI solutions.
- Excellent leadership, communication, and mentoring skills.
If interested for this role then please share your updated resume along with CTC Details to
AI Architect
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Job Description
Key Responsibilities:
Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.
Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.
Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.
Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics.
Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.
Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.
Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.
Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.
Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.
Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments.
Qualifications and Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.
• Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
• Streamlit -- Python
• Generative AI
• HuggingFace , OpenAi and any Custom Model development experience
• Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• In-depth knowledge of machine learning techniques, algorithms, and model evaluation.
• Familiarity with big data technologies, cloud platforms, and distributed computing.
• Excellent problem-solving abilities and analytical thinking.
• Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.
AI Architect
Posted today
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Company Description
At PwC, we help clients build trust and reinvent their operations to transform complexity into competitive advantage. We're a forward-thinking, global network with more than 370,000 professionals spread across 149 countries. Our services span assurance, tax and legal, deals, and consulting, all aimed at building, accelerating, and sustaining business momentum. The PwC network comprises separate legal entities, further details of which can be found at
Role Description
This is a full-time on-site role for an AI Architect at PwC India, located in Bengaluru. The AI Architect will be responsible for designing and implementing AI-based solutions, integrating these solutions into existing systems, and guiding software development projects. The role also entails architectural design, project management, and ensuring the scalability and performance of AI frameworks within client infrastructure.
Qualifications
- Expertise in Architecture and Architectural Design
- Proficiency in Software Development and Integration
- Strong Project Management skills
- Excellent problem-solving and analytical skills
- Ability to work collaboratively in a team environment
- Experience in AI frameworks and technologies
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Relevant certifications in AI or Cloud Computing are a plus