Senior Generative AI Developer

In this role, you will leverage AWS Bedrock AgentCore and AWS Kiro to build complex, secure, and highly scalable multi-agent systems featuring advanced Agent-to-Agent (A2A) communication and orchestration protocols. Senior Generative AI Developer (Agentic Systems) to lead the design, development, and deployment of production-grade AI agents using the latest AWS agentic infrastructure.

 
Role Name: Senior Generative AI Developer
Work site: St louis , MO (Onsite)
 
Senior Generative AI Developer (Agentic Systems) to lead the design, development, and deployment of production-grade AI agents using the latest AWS agentic infrastructure. In this role, you will leverage AWS Bedrock AgentCore and AWS Kiro to build complex, secure, and highly scalable multi-agent systems featuring advanced Agent-to-Agent (A2A) communication and orchestration protocols.
Core Responsibilities
Design Agent Systems: Architect scalable multi-agent systems using Amazon Bedrock AgentCore Runtime and Gateway.
Implement Collaboration: Build robust Agent-to-Agent (A2A) communication patterns enabling supervisor/sub-agent handoffs.
Optimize IDE Workflows: Use AWS Kiro IDE and Kiro Powers to turn natural language prompts into production code.
Integrate Protocols: Connect agents to external enterprise resources, legacy APIs, and tools via the Model Context Protocol (MCP).
Manage Agent Memory: Build stateful agent sessions using AgentCore conversational memory modules.
Enforce Cloud Security: Establish deterministic IAM authorization patterns to protect secure microVM agent environments.
Required Technical Skills
AWS Bedrock Ecosystem: Mastery of foundational models, prompt engineering, and Amazon Bedrock Agents.
AWS Bedrock AgentCore: Production experience with AgentCore Runtime, Gateway, Memory, Identity, and Observability.
AWS Kiro: Mastery of Kiro IDE, Agent Toolkit for AWS, and building specialized Kiro Powers.
Multi-Agent Orchestration: Expertise in building A2A communication, collaborative workflows, and Frameworks like Strands, CrewAI, or LangGraph.
Integration Protocols: Deep understanding of Model Context Protocol (MCP) server architectures.
Backend Development: Strong proficiency in Python or TypeScript, AWS Lambda, and API Gateway.