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.
About the Client
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
About the Project
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
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)
Nice to have:
• 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.