Job Description
We are seeking a highly experienced
AI/ML/GenAI Engagement Manager to lead large-scale AI transformation programs within the Insights & Data practice. This role requires a unique blend of
deep technical expertise, hands-on development capability, and business leadership, including
P&L ownership.
The ideal candidate will have proven experience in
architecting and building AI/GenAI/Agentic AI solutions, driving
production-grade deployments, and managing
end-to-end client engagements.
Key responsibilities
Technical Leadership (Hands-on)
- Design, build, and code end-to-end AI/ML, GenAI, and Agentic AI solutions
- Contribute to architecture, prototyping, and development
- Develop scalable systems including:
- Data ingestion & processing pipelines
- Model training & inference layers
- LLM orchestration & prompt pipelines
- Vector databases & semantic search
- APIs, UI integration & deployment pipelines
Agentic AI & GenAI Delivery
- Build Agentic AI, conversational AI, chatbots, and AI assistants
- Implement RAG pipelines, multi-agent orchestration, and LLM-based applications
- Drive enterprise GenAI adoption and innovation
POC to Production
- Own end-to-end lifecycle from POC to production
- Deliver scalable, production-grade solutions balancing speed and robustness
Engagement & Delivery
- Manage AI/ML programs for global clients with delivery excellence
- Operate in fixed-price / outcome-based models
- Lead client engagements, CXO discussions, AI strategy, and thought leadership
Primary Skills
Technical Expertise
Hands-on experience in AI/ML, GenAI, and Agentic AIStrong Python skills with experience in Data science, Deep Learning, Agentic Frameworks like- LangChain / LangGraph
- Semantic Kernel , AutoGen / CrewAI
- Workflow orchestration (state machines, DAGs)
- AIOps, MLOpsw, GraphDB, LLM Gateway, Guardrails.
Architecture & Systems
- Experience in end-to-end AI architecture design
- Knowledge of:
- LLM pipelines & orchestration
- Vector databases (Pinecone,Weaviate, Milvus etc)
- Distributed systems & scalable deployments
Data Expertise
- Strong background in Data Science (ML, NLP, GenAI) OR Data Engineering (large-scale data pipelines)
- Working knowledge of both preferred
Business & Delivery
- Experience managing AI programs with P&L responsibility (Good to have)
- Strong client-facing and stakeholder management skills (Must have)
