Lead Agentic AI Engineer (Agent Creation, Both A2A and MCP)

We have an immediate Openings with Our Client for a Long-term contract position

Job Title: Lead Agentic AI Engineer (Agent Creation, Both A2A and MCP)

Location: Irving TX - 3 days office every week

Duration 12 months

Need locals and who can start Immediate 

Interview Mode – Face to Face

The Lead Agentic AI Engineer designs, builds, and deploys production-grade agentic AI systems that coordinate multiple AI agents across enterprise workflows. This role leads architecture, technical standards, and mentoring for agentic and GenAI initiatives. Within 90 days, success means a production agentic application running with measurable reliability and clear architecture standards in place.

Job Summary

• Design, build, and deploy production-ready agentic AI applications using LangChain and LangGraph for multi-agent orchestration
• Implement agent-to-agent communication using the Agent2Agent (A2A) protocol and expose tools/data sources via Model Context Protocol (MCP) servers
• Architect and deploy agents on Amazon Bedrock AgentCore, leveraging Runtime, Gateway, Memory, and Identity services for secure, scalable operation
• Build, manage, and monitor agent fleets using LangFleet, including tool-level approvals and tracing for governed agent operations
• Integrate agentic workflows with Gemini Enterprise and Google's Agent Development Kit (ADK) for enterprise-grade generative AI use cases
• Build memory systems (short-term, long-term, session state) and RAG pipelines for context-aware agent reasoning
• Convert internal APIs, databases, and Lambda functions into agent-callable tools via MCP gateways
• Establish observability, tracing, and evaluation pipelines to monitor agent quality, latency, and drift in production