MCP AI Architect

Position Summary

We are building an enterprise-scale MCP server ecosystem to connect Claude AI and other LLMs to critical business systems. The MCP Architect will design, build, and govern this integration layer — owning the full lifecycle from schema design to production deployment and will extend coverage to additional business applications as organizational needs evolve.

Key Responsibilities

• Architect and own the MCP server ecosystem across Bio-Tech / Healthcare enterprise application portfolio
• Build production-grade MCP servers in TypeScript and Python with OAuth 2.0, RBAC, and audit logging
• Define tool schemas, versioning standards, and multi-agent orchestration patterns
• Integrate MCP servers with SAP, Salesforce, D365, Smartsheet, Jira, Microsoft Graph API, and other business applications as per business need
• Design the tool invocation and RBAC model for AI virtual employees and internal copilot personas
• Align architecture with Bio-Tech / Healthcare AI Security Reference Architecture and EU AI Act compliance (Aug 2026)
• Maintain an MCP server registry and contribute to internal Claude AI Launchpad enablement
• Mentor AI & Automation Developers on MCP patterns and agentic integration best practices

Basic Qualifications

• B.Tech, M.Tech, or PhD from an Indian Institute of Technology (IIT) — Mandatory, verification required at offer
• 8+ years in software engineering with focus on API design, systems integration, or AI platform engineering
• 3+ years hands-on building MCP servers or equivalent tool-calling frameworks (LangChain, OpenAI Function Calling)
• Expert TypeScript and Python; strong REST/GraphQL API design and Node.js async patterns
• Deep knowledge of MCP specification — tools, resources, prompts, sampling, and transport layers
• Experience integrating LLMs (Claude, GPT-4) with enterprise systems in agentic or RAG architectures
• Strong grasp of OAuth 2.0, OIDC, JWT, Azure AD, and enterprise SSO/SCIM patterns

Preferred Qualifications

• Open-source contributions to MCP projects or the Model Context Protocol community
• Experience with LangGraph, AutoGen, CrewAI, or Anthropic agent SDKs
• Familiarity with Azure AI Foundry, Microsoft Copilot Studio, or vector databases (Pinecone, Azure AI Search)
• Prior experience in Life Sciences, Healthcare, or regulated enterprise environments
• Knowledge of EU AI Act, GDPR, or ISO 27001 compliance frameworks