Tech Lead Agentic Gateway Architecture

We are looking for a Tech Lead specializing in Agentic Gateway Architecture to lead the design and implementation of a secure, scalable integration layer for AI agents, tools, and multi-agent workflows. The role focuses on MCP-based tool integration, semantic tool discovery, agent-to-agent communication, identity federation, authorization, and gateway architecture within an enterprise AI platform.

• Lead the architecture and implementation of an agentic gateway connecting AI agents with enterprise tools and services.

• Design MCP-based integration patterns, including server aggregation, tool discovery, and tool invocation lifecycle.

• Define and implement agent-to-tool and agent-to-agent communication patterns, including multi-agent orchestration.

• Design semantic tool discovery using embeddings to enable agents to identify tools based on capability and intent.

• Establish authorization and policy enforcement for tool calls and agent interactions using Cedar policies.

• Design agent identity and authentication patterns using JWT-based federation and Entra Agent ID or equivalent solutions.

• Define gateway topology, including centralized vs federated models, tool visibility, and access scoping.

• Integrate and configure AWS Bedrock AgentCore Gateway, including MCP target registration, HTTP routing, and inference targets.

• Ensure the architecture meets enterprise requirements for security, authorization, data access, and auditability.

• Provide technical leadership and architectural guidance for agentic platform and gateway implementation.

Skills:

• Model Context Protocol (MCP) — server aggregation, tool discovery, tool invocation lifecycle

• Agentic workflow patterns — agent-to-tool, agent-to-agent communication (A2A), multi-agent orchestration

• Semantic tool discovery — embedding-based search for agents to find tools by capability/intent

• Agentic authorization — policy enforcement on tool calls and agent interactions (Cedar policy language)

• Agent identity federation — JWT-based cross-agent authentication (Entra Agent ID or equivalent)

• AWS Bedrock AgentCore Gateway — MCP target registration, HTTP target routing, inference target configuration

Experience:

• 5+ years building AI/ML platforms or agentic systems

• Designed tool integration layers for AI agents (function calling, tool use)

• Implemented Model Context Protocol or similar agent-tool protocols

• Enterprise security reviews for AI systems (authorization, data access, audit)

• Built multi-agent systems with agent-to-agent communication

• Semantic search using embeddings (FAISS, Pinecone, vector databases)

• AWS Bedrock Agents or AgentCore hands‑on experience

• Agentic gateway topology design (central vs federated, tool visibility scoping)

• Credential vending for agents (3LO OAuth, per‑tool authentication)

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well‑being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.