MCP Solution Architect

Coforge; Gurugram District, Greater Noida; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Coforge is seeking an experienced MCP Solution Architect to design, integrate, and govern MCP-based AI solutions across enterprise systems. You will bridge business needs with technical implementation, shaping architectures, APIs, and data flows in hybrid environments.

Responsibilities include defining end-to-end MCP architectures, evaluating AI frameworks, and guiding DevOps practices. This role demands 7–10 years of relevant experience and strong leadership in complex integrations.

Qualifications

• 7–10 years of experience in solution architecture.
• Expertise in MCP-based design and enterprise integration.
• Hands-on with AI platforms (Azure Gen AI) and security considerations.
• Strong API knowledge (REST, GraphQL) and microservices.
• Experience with cloud PaaS (Azure/AWS/GCP) and IAM.
• Familiarity with Docker/Kubernetes and DevOps pipelines.

Responsibilities

• Design and define end-to-end MCP-based solution architectures.
• Develop integration strategies between AI/LLM platforms and enterprise applications.
• Architect MCP servers, tools, resources, and prompt workflows.
• Define security, authentication, authorization, and governance standards for MCP implementations.
• Collaborate with business stakeholders, product teams, and engineering teams to gather requirements and translate them into technical solutions.
• Establish best practices for MCP implementation, deployment, scalability, and monitoring.
• Create architecture diagrams, technical design documents, and implementation guidelines.
• Support development teams during design reviews, code reviews, and deployment activities.
• Evaluate and recommend AI technologies, frameworks, and integration patterns.
• Drive proof-of-concepts (PoCs) and innovation initiatives around AI agent ecosystems.

Skills

MCP Architecture & Design

System Design & B2B Integration

Azure AI / Gen AI experience

RESTful API, GraphQL, Web Services

Cloud PaaS (Azure/AWS/GCP)

OAuth/OIDC & API Security

Docker & Kubernetes

CI/CD & DevOps

Java / Node.js

Integration Patterns & Connectivity

Job description

Role & responsibilities :

Job Description

Download JD File

Job Description MCP Solution Architect

Position: MCP Solution Architect (Model Context Protocol)

Location: Gurgaon / Greater Noida / Hybrid

Employment Type: Full-Time

Years of Experience: 7-10 Years

Job Summary: We are seeking an experienced MCP Solution Architect to design, architect, and implement AI-powered solutions using the Model Context Protocol (MCP) framework. The ideal candidate will bridge business requirements and technical implementation by integrating enterprise systems, APIs, data sources, and AI/LLM platforms through MCP-based architectures.

Key Responsibilities:

• Design and define end-to-end MCP-based solution architectures.
• Develop integration strategies between AI/LLM platforms and enterprise applications.
• Architect MCP servers, tools, resources, and prompt workflows.
• Define security, authentication, authorization, and governance standards for MCP implementations.
• Collaborate with business stakeholders, product teams, and engineering teams to gather requirements and translate them into technical solutions.
• Establish best practices for MCP implementation, deployment, scalability, and monitoring.
• Create architecture diagrams, technical design documents, and implementation guidelines.
• Support development teams during design reviews, code reviews, and deployment activities.
• Evaluate and recommend AI technologies, frameworks, and integration patterns.
• Drive proof-of-concepts (PoCs) and innovation initiatives around AI agent ecosystems.

Mandatory Skills:

• Strong experience in System Design and B2B Integration.
• Hands-on experience with Model Context Protocol (MCP) architecture and implementations.
• Experience with AZURE AI, Gen AI, or similar.
• Strong knowledge of RESTful API, graphql, Webservices, and Microservices.
• Experience with Cloud PaaS such as Azure, AWS, or GCP.
• Knowledge of Oauth, oidc, API Security, and Identity Management.
• Experience with Containerization vs Virtualization (Docker, Kubernetes).
• Strong understanding of Integration Patterns and enterprise system connectivity.
• Proficiency in Java Standard Edition, NODE.JS, or similar technologies.
• Experience with CI/CD Pipelines and DevOps.

Preferred Skills:

• MCP Server development experience.
• Experience with Agentic AI, Agentic Workflows, and RAG implementations.
• Knowledge of Report Embedding and SEO.
• Experience with AZURE AI, Semantic Kernel, LangChain, LangGraph, or equivalent frameworks.
• Understanding of enterprise governance and AI compliance requirements.

Deal Breaker Skill: Solution Architect

Exps-10yrs to 18yrs