AI Architect - LangChain/LangGraph

NetConnectGlobal; Gurugram District; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

NetConnectGlobal seeks an experienced AI Architect (MCP) to lead the design and implementation of enterprise-scale Agentic AI and LLM-powered solutions. You bridge strategic architecture with hands-on execution, aligning MCP, context engineering and AI governance across the organization.

The role requires 8+ years in software or enterprise architecture, strong API experience, and proficiency in Python and TypeScript/Node.js. This is a hybrid Gurgaon position with a 12‑month contract.

Qualifications

• Experience with MCP, agentic AI and enterprise architecture.
• Strong background in context engineering and AI governance.
• Proficiency with LangChain, LangGraph and major AI APIs.

Responsibilities

• Design MCP server architectures, AI agents, and enterprise AI platforms.
• Develop reusable AI agent skills, prompt libraries, and RAG solutions.
• Build enterprise context frameworks and governance standards.
• Create ADRs, SDLC and security documentation.
• Design knowledge architectures, ontology models, and accelerator frameworks.
• Collaborate with EA, engineering and business teams to scale AI solutions.
• Drive platform adoption, governance and best practices.

Skills

Model Context Protocol

Agentic AI

Enterprise AI Architecture

Context Engineering

LangChain

LangGraph

OpenAI API

Claude API

Prompt Engineering

RAG

Python

TypeScript/Node.js

Job description

Job Description

AI Architect (MCP) | Gurgaon | Hybrid

Experience: 8+ Years

Location: Gurgaon (Hybrid)

Contract Duration: 12 Months

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 Skills

• Knowledge Graphs & Ontology Design
• TOGAF / Zachman Framework
• AI Governance & Security
• Semantic Data Architecture
• Internal Developer Platforms
• Enterprise Knowledge in Computer Science, IT, Engineering, or related field.
• 8+ years of experience in Software Architecture, Solution Architecture, or Enterprise Architecture.

(ref:hirist.tech)