AI Architect Senior Manager

Join our team in Technology Strategy & Transformation for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from AI and GenAI architecture.

Practice: Technology Strategy & Transformation, Global Network

Areas of Work: GenAI Strategy & Architecture

Level: Senior Manager

Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad

Years of Experience: 14 to 20 years

Your Experience Counts!

- MBA from a tier 1 institute preferred.
- 7 10 years of Strategy Consulting experience at a consulting firm.
- 5+ years of experience in designing and building end-to-end Enterprise AI and GenAI strategic solutions using cloud and non-cloud platforms Google Vertex AI / Gemini, Azure AI / Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
- Excellent understanding of Traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and Advanced Cognitive methods to derive insights and actions.
- Demonstrated ability to design agentic AI workflows, including LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments.
- 5+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or AI & Data transformation,



including value realisation and AI governance frameworks.
- Positive working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks, including bias, explainability, and regulatory compliance.
- 5+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing AI strategy recommendations as well as developing POCs.
- Deep understanding of data supply chain and how it enables AI productionisation and scaled deployment.
- Mandatory knowledge of IT & Enterprise architecture concepts through practical experience Cloud, API-first, RAG, MCP, agent orchestration, MLOps, observability.
- Strong understanding in any of the following industries preferred: Financial Services, Retail, Consumer Goods, Telecom, Life Sciences, Transportation, Automotive/Industrial, or equivalent.
- Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

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