MCP AI Architect
New
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of software engineering experience
- Required Skills
- GraphQLNode.jsPythonTypeScriptRESTful APIs
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field (IIT background mandatory as per role requirements).
- 8+ years of software engineering experience focused on API design, distributed systems, integration platforms, or AI infrastructure.
- 3+ years of hands-on experience building MCP servers or equivalent frameworks such as LangChain, OpenAI Function Calling, or agent-based systems.
- Strong expertise in TypeScript and Python, with deep understanding of REST/GraphQL APIs and Node.js asynchronous architecture.
- Proven experience integrating LLMs (e.g., Claude, GPT-4) into enterprise workflows using RAG or agentic system design.
- Strong knowledge of OAuth 2.0, OIDC, JWT, Azure AD, and enterprise authentication/authorization models.
- Familiarity with regulated environments such as healthcare or life sciences, and awareness of compliance frameworks like GDPR, ISO 27001, or EU AI Act.
- Strong system design, communication, and cross-functional collaboration skills in complex enterprise environments.
Responsibilities
- Design and own the end-to-end MCP server ecosystem, ensuring scalable integration between LLMs and enterprise applications across domains such as healthcare, biotech, and business operations.
- Build and maintain production-grade MCP servers using TypeScript and Python, including secure authentication frameworks such as OAuth 2.0, RBAC, and audit logging.
- Define tool schemas, versioning strategies, and agent orchestration patterns to ensure consistency and reliability across AI systems.
- Integrate MCP layers with enterprise systems such as SAP, Salesforce, D365, Jira, Smartsheet, and Microsoft Graph API based on evolving business needs.
- Architect AI tool invocation models, role-based access controls, and governance frameworks for AI agents and internal copilots.
- Ensure alignment with enterprise security architecture standards and regulatory frameworks including healthcare and AI compliance requirements.
- Maintain MCP registries, documentation, and enablement frameworks while mentoring engineering teams on best practices for agentic AI systems.
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