Role & responsibilities
GenAI Technical Lead

Role Purpose

Lead the design, development, and delivery of enterprise-grade Generative AI and Agentic AI solutions. Drive technical execution, mentor engineering teams, and ensure scalable, secure, and production-ready AI deployments.

Key Responsibilities
Lead end-to-end delivery of GenAI and Agentic AI solutions.
Design and implement RAG, AI Agents, MCP, multi-agent orchestration, and LLM-based applications.
Guide teams in prompt engineering, evaluation frameworks, guardrails, observability, and performance optimization.
Translate business requirements into scalable AI solutions.
Establish coding standards, architecture patterns, and engineering best practices.
Conduct technical reviews and mentor GenAI engineers.
Collaborate with architects, product owners, and business stakeholders.




Drive production readiness, monitoring, security, and Responsible AI compliance.

Required Skills
Strong hands-on experience with Python, FastAPI, LangChain, LangGraph, Semantic Kernel, AutoGen, MCP.
Experience with Azure AI Foundry, OpenAI, AWS Bedrock or similar platforms.
Robust understanding of:
LLMs
RAG
Vector Databases
AI Agents
Prompt Engineering
LLM Evaluation
AI Observability
Experience with CI/CD, MLOps, containerization, and cloud-native deployments.
Solid stakeholder communication and leadership abilities.

Experience
612 years overall
3–5 years in AI/GenAI

Preferred candidate profile

Perks and perks

📌 Coforge Face To Face Interview Data Scientist Hyderabad (India)
🏢 Coforge
📍 India