S&C GN - TS&T – Digital Foundations - AI Architect - Senior Manager
On-siteBengaluru, Karnataka, India
Job Summary
Lead enterprise-wide AI and GenAI strategy for global clients, designing agentic workflows, multi-agent orchestration, and production-grade architectures using LLM platforms like Azure Copilot and Google Vertex AI. Conduct discovery workshops to identify high-value process hotspots via process mining, then guide scaled AI deployments covering MLOps, governance, and value realization frameworks. Formulate guiding principles for client technology landscapes, lead proof-of-concepts, and build quantitative business cases for AI transformation engagements while managing budgets and financial proposals.
Required Qualifications
- 14 to 20 years of experience
- MBA from a tier 1 institute
- 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
- 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
- 5+ 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
- 5+ years of experience leading or managing large teams effectively
- 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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