We are seeking a highly experienced AI/ML/GenAI Engagement Manager to lead large-scale AI transformation programs within the Insights & Data practice.

Role: AI Engagement Manager

Experience:

Experience in end-to-end AI architecture design
Hands-on experience in AI/ML, GenAI, and Agentic AI
Experience managing AI programs with P&L responsibility
Strong background in Data Science (ML, NLP, GenAI) OR Data Engineering (large-scale data pipelines)

Key Skills:

Python
Data science
Deep Learning
Agentic Frameworks like LangChain / LangGraph
Semantic Kernel
AutoGen / CrewAI
Workflow orchestration (state machines, DAGs)
AIOps
MLOps
GraphDB
LLM Gateway
Guardrails
LLM pipelines & orchestration
Vector databases (Pinecone,Weaviate, Milvus etc)
Distributed systems & scalable deployments

Role Focus:

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
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
Own end-to-end lifecycle from POC to production
Deliver scalable, production-grade solutions balancing speed and robustness
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

Nice to have:

Experience managing AI programs with P&L responsibility
Preferred domain- Telecom

AI Engagement Manager

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Nice to have:

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