AI Architect - LangChain/LangGraph

Job description

AI Architect (MCP) | Gurgaon | Hybrid

Experience: 8+ Years

Location: Gurgaon (Hybrid)

Contract Duration: 12 Months

Job Description

We are seeking an experienced AI Architect (MCP) to lead the design and implementation of enterprise-scale Agentic AI and LLM-powered solutions. The ideal candidate will have strong expertise in Model Context Protocol (MCP), context engineering, enterprise architecture, and AI governance, with the ability to bridge strategic architecture and hands-on implementation.

Key Responsibilities

Design and implement MCP server architectures, AI agents, and enterprise AI platforms.

Develop reusable AI agent skills, prompt libraries, and RAG-based solutions.

Build enterprise context engineering frameworks and AI governance standards.

Author Architecture Decision Records (ADRs), SDLC standards, and security review documentation.

Design enterprise knowledge architectures, ontology models, and AI accelerator frameworks.

Collaborate with enterprise architecture, engineering, and business teams to deliver scalable AI solutions.

Drive AI platform adoption, governance, and best practices across the organization.

Mandatory Skills

Model Context Protocol (MCP)

Agentic AI

Enterprise AI Architecture

Context Engineering

LangChain / LangGraph

OpenAI API / Claude API

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Python

TypeScript / Node.js

Enterprise Architecture

Azure

GitHub

Jira

Confluence

Preferred Skills

Knowledge Graphs & Ontology Design

TOGAF / Zachman Framework

AI Governance & Security

Semantic Data Architecture

Internal Developer Platforms

Enterprise Knowledge Management

Qualification

B.E./B.Tech./M.Tech. in Computer Science, IT, Engineering, or related field.

8+ years of experience in Software Architecture, Solution Architecture, or Enterprise Architecture.