MCP AI Architect

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

This role is responsible for designing and owning the Model Context Protocol (MCP) architecture that connects LLMs with critical business systems. The ideal candidate will have deep expertise in systems integration, API architecture, and AI platform engineering. The position requires building scalable, secure, and production-ready MCP servers that enable agentic AI workflows across enterprise applications.

Key Highlights

Design and own the end-to-end MCP server ecosystem

Build and maintain production-grade MCP servers using TypeScript and Python

Integrate MCP layers with enterprise systems such as SAP, Salesforce, and Microsoft Graph API

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Key Responsibilities

Design and own the end-to-end MCP server ecosystem

Build and maintain production-grade MCP servers using TypeScript and Python

Define tool schemas, versioning strategies, and agent orchestration patterns

Integrate MCP layers with enterprise systems

Architect AI tool invocation models, role-based access controls, and governance frameworks

Technical Skills Required

TypeScript Python API design

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Benefits & Perks

Competitive compensation

Fully remote work model within India

Opportunity to design cutting-edge MCP and agentic AI systems

Job Description

This role sits at the center of an enterprise-grade AI integration ecosystem, where you will design and own the Model Context Protocol (MCP) architecture that connects LLMs with critical business systems. You will be responsible for building scalable, secure, and production-ready MCP servers that enable agentic AI workflows across enterprise applications. The position requires deep expertise in systems integration, API architecture, and AI platform engineering, with a strong focus on security, governance, and compliance. You will collaborate across technical and business teams to define how AI agents interact with enterprise data and tools. The environment is highly innovative, fast-evolving, and focused on transforming complex organizations into AI-powered enterprises. This is a high-impact role where architectural decisions directly shape the future of internal AI ecosystems and copilots.

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