AI Architect - LangChain/LangGraph
Netconnect · Gurugram · onsite · Posted 49d ago
Not disclosed8–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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 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)
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 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)
Sourced from foundit
Skills
Semantic Data ArchitecturePrompt EngineeringTOGAFContext EngineeringKnowledge GraphsOpenAI SDKZachman Frameworkontology designModel Context Protocol MCPinternal developer platformsPythonNode.JsEnterprise AI ArchitectureTypescriptLanggraphLangchainAgentic AiAI Governance & SecurityAnthropic SDKRetrieval-Augmented Generation Rag