Lead ML Operations Engineer

About the role

Leads product ownership of enterprise AI and Generative AI solutions built on Copilot and LLM platforms, driving adoption, governance, and business value across the AI Champions ecosystem. Acts as the primary technical and functional owner for Copilot-based solutions, managing the lifecycle of AI use cases and ensuring alignment with enterprise policies and standards.

What you'll do

• Own roadmap, prioritization, and lifecycle of Copilot-based solutions and GenAI use cases
• Act as the central contact for AI Champions, guiding use case development, onboarding, troubleshooting, and adoption
• Use Case Identification & Scaling
• Partner with business teams to identify high-impact AI use cases and drive scaling across functions
• Provide expertise in LLM-based solutions including prompt engineering, RAG, conversational AI, and multi-agent workflows

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• LLMs
• AWS
• Python
• Snowflake
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Prompt engineering
• DLP