15,754 AI Architect jobs in India

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

JOB SUMMARY:

Architecture Design : Design end-to-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability.

Innovation - Identify opportunities for leveraging AI to drive innovation, improve processes, and create value for internal stakeholders.

Technology Evaluation : Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design.

Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment.

Integration and Deployment : Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud-based and edge computing platforms.

Performance Monitoring and Optimization : Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time.

Governance and Compliance : Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives.

Collaboration and Leadership : Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members.

Qualifications:

•Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.

•Minimum of 7+ years of relevant professional experience as an AI Architect or similar role, with a focus on designing and implementing AI solutions.

•Deep understanding of machine learning, deep learning, and other AI techniques and algorithms.

•Experience with AI development frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Apache MXNet.

•Proficiency in programming languages such as Python, Java, or Scala.

•Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

•Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•Excellent problem-solving skills and analytical thinking.

•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

•Leadership experience, with the ability to inspire and influence team members and stakeholders.

Preferred Qualifications:

•Experience with AI applications in specific domains such as computer vision, natural language processing, or reinforcement learning.

•Knowledge of edge computing and IoT (Internet of Things) technologies.

•Understanding of DevOps principles and practices for AI development and deployment.

Your role as a Deputy Manager/Manager

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

In addition to living our purpose, Senior Executive across our organization must strive to be:

• Inspiring - Leading with integrity to build inclusion and motivation
• Committed to creating purpose - Creating a sense of vision and purpose
• Agile - Achieving high-quality results through collaboration and Team unity
• Skilled at building diverse capability - Developing diverse capabilities for the future
• Persuasive / Influencing - Persuading and influencing stakeholders
• Collaborating - Partnering to build new solutions
• Delivering value - Showing commercial acumen
• Committed to expanding business - Leveraging new business opportunities
• Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization
• Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities
• Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
• Managing change - Responding to changing environment with resilience
• Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
• Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

How you’ll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone’s welcome… entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

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(GENAI)

About Nous

Nous Infosystems is a CMMI® Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services.

We are on the lookout for strong AI Architects with the following skills.

Job Title: AI Architect

Experience: 10+ years

Location: Bengaluru

Job Description:

We are looking for a highly skilled AI Architect to design and deliver scalable, secure, and business-driven AI/ML solutions with a strong focus on Generative AI. The role requires expertise in AI/ML frameworks, cloud platforms, MLOps, and GenAI technologies, with the ability to translate complex business challenges into innovative technical solutions. The ideal candidate will act as a thought leader, mentor teams, and establish AI best practices across the organization.

Responsibilities:

• Architect, design, and oversee enterprise-grade Generative AI and AI/ML solutions.
• Define AI strategy, reference architectures, and best practices.
• Evaluate and implement Generative AI models (LLMs, SLMs).
• Develop and Integrate GenAI solutions for chatbots, document summarization, code generation, personalization, and automation use cases.
• Select and deploy AI/GenAI platforms and tools (e.g., OpenAI, LangChain, LagGraph, Semantic Kernel, RAG frameworks, ).
• Establish standards for model development, deployment, monitoring, and governance.
• Ensure AI/GenAI solutions are scalable, secure, ethical, and compliant.
• Collaborate with engineers, and business stakeholders to deliver impactful solutions.
• Drive innovation by staying updated with GenAI trends and emerging technologies.
• Mentor and guide teams in AI/ML and GenAI solution design.

Requirements:

• 10+ years of IT experience with experience in AI design and architecture.
• Expertise in ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with Generative AI (LLMs, NLP, Prompt Engineering, RAG, Vector Databases).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with GenAI tools/frameworks (LangChain, Hugging Face, OpenAI APIs).
• Experience in MLOps, CI/CD for ML, and model monitoring.
• Knowledge of big data ecosystems and data engineering.
• Understanding of data security, compliance, and Responsible AI practices.
• Strong leadership, communication, and solution architecture skills.

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Regards

Team TA