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Job Title

Manager – GenAI Engineering

Role Overview

We are seeking a GenAI Engineering Manager with 8+ years of experience to lead the design, development, and governance of enterprise-scale GenAI solutions. The role requires deep hands-on expertise in Python, RAG architectures, agentic AI frameworks, prompt evaluation, and LLM platform strategy, along with robust people and technical leadership skills.

You will be responsible for defining GenAI architecture standards, mentoring engineers, ensuring production readiness, and driving best practices across prompt engineering, evaluation, security, and deployment.

Key Responsibilities

Own end‑to‑end architecture, design decisions, and technical governance for enterprise‑scale GenAI solutions, ensuring solutions are secure, scalable, reliable, and aligned with business objectives.




Lead the design and implementation of advanced RAG architectures, covering chunking strategies (semantic, hierarchical, hybrid), retrieval optimization, reranking, metadata filtering, and grounding assurance.
Define and standardize prompt engineering best practices across teams, including system prompt design, instruction tuning, reasoning control, and alignment with use‑case objectives.
Establish and drive prompt evaluation frameworks, covering qualitative and quantitative evaluation of accuracy, relevance, hallucination rate, determinism, cost efficiency, latency, and prompt regression risks.
Guide teams on effective use of Chain‑of‑Thought (CoT) and alternative reasoning strategies while balancing explainability, cost, and security concerns.
Lead adoption and production usage of agentic AI frameworks such as LangChain and LangGraph, including multi‑agent coordination, tool calling, memory management, rout

📌 EY - GDS Consulting - AIA - Gen AI - Manager (Kolkata)
🏢 EY
📍 Kolkata