S&C GN - TS&T – Digital Foundations - AI Architect - Manager
On-siteBengaluru, Karnataka, India
Job Summary
Design enterprise-wide AI and GenAI strategies, identifying high-value process hotspots through mining and mapping to unlock measurable business value. Lead agentic AI architecture, including multi-agent orchestration and LLM design, while guiding scaled production deployments with MLOps, governance, and change management frameworks. Conduct discovery workshops with C-level stakeholders to elicit opportunities, define quantitative business cases, and manage financial proposals for transformation engagements. Formulate guiding principles for client technology landscapes and deliver proof-of-concepts using platforms like Azure, Google Vertex, and AWS.
Required Qualifications
- 10 to 15 years of experience
- MBA from a tier 1 institute
- 5 – 7 years of Strategy Consulting experience at a consulting firm
- 3+ years of experience in designing and building end-to-end Enterprise AI and GenAI strategic solutions using cloud and non-cloud platforms
- Excellent understanding of Traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and Advanced Cognitive methods
- Demonstrated ability to design agentic AI workflows, including LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments
- 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or AI & Data transformation
- Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks
- 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing AI strategy recommendations
- 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
Desired Qualifications
- Google Vertex AI / Gemini
- Azure AI / Copilot
- Claude
- Amazon Bedrock
- IBM Watson
- DataRobot
- LangChain
- AutoGen
- CrewAI
- Financial Services industry experience
- Retail industry experience
- Consumer Goods industry experience
- Telecom industry experience
- Life Sciences industry experience
- Transportation industry experience
- Automotive/Industrial industry experience
- Cloud AI Practitioner Certifications (Azure, AWS, Google)
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