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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 focus is on
MCP tool integration, semantic tool discovery, A2A communication, identity federation, authorization, and gateway architecture
within an enterprise AI platform.
The project involves building an
enterprise-grade AI Agent Platform from scratch
, providing a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases. The platform will cover the full agent lifecycle, including orchestration, observability, security, governance, integrations, and evaluation.
This is a
greenfield initiative
, giving engineers the opportunity to shape the architecture and make key technical decisions rather than maintain an existing solution.



The client is a large global enterprise investing heavily in modern
cloud, data, and AI capabilities
to support secure, scalable, and highly automated solutions.
Requirements:
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,
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 simila

📌 Tech Lead (Marzán)
🏢 Intellias
📍 Marzán