Senior Generative AI Developer

Senior Generative AI Developer

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.