Senior Generative AI Developer

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 Agent Core 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 Agent Core 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 Agent Core 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 Agent Core:
Production experience with Agent Core 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 Lang Graph.
Integration Protocols:
Deep understanding of Model Context Protocol (MCP) server architectures.
Backend Development:
Strong proficiency in Python or Type Script, AWS Lambda, and API Gateway.