Senior AI Integration Architect

We are looking for a forward-thinking Senior AI Integration Architect to lead our AI enablement strategy. You will be responsible for transforming our existing API ecosystem into a machine-readable Agent Mesh. Using C#/.NET and the Model Context Protocol (MCP), you will build and manage the infrastructure that allows AI agents (like Claude or custom autonomous agents) to securely discover, interact with, and execute business logic through our Gravitee API gateway.

Key Responsibilities

• Design and build custom MCP servers using C# and .NET to expose internal data and tools to LLMs.
• Use Gravitee 4.9+ MCP Server capabilities to turn standard REST APIs into AI-ready tools via OpenAPI specifications.
• Implement MCP Authentication using OAuth 2.1 and Gravitee Access Management (AM) to ensure AI agents operate within secure boundaries.
• Configure Gravitee''''s native MCP Server application types to centralize how various AI models access enterprise resources.
• Monitor agent-to-API communications using Gravitee to debug tool calls, apply rate limits, and ensure the reliability of agentic workflows.

Technical Qualifications

• Deep experience building robust back-end services, SDKs, and integration layers.
• Hands-on experience with the MCP standard for connecting AI models to external data sources.
• Proficiency in Gravitee API Management (APIM), including policy design, security plans, and the new MCP Tool Server.
• Expert knowledge of REST, OpenAPI/Swagger, and asynchronous event-driven architectures.
• Good knowledge of Python is a great plus.
• Understanding of LLM tooling (function calling), prompt engineering, and the lifecycle of autonomous AI agents.

Preferred Skills

• Experience with OpenFGA or fine-grained authorization for agentic systems.
• Familiarity with Agent Mesh architectures.
• Contributions to open-source MCP servers or AI integration frameworks.