Senior Generative AI Developer

Capgemini

St. Louis, MO, United States

6 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$76,918.0 - $120,203.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services JIRA Cloud Computing Security Collaborative Software Monitoring of Systems Identity and Access Management Python (Programming Language) TypeScript Multi-Agent Systems

+6 more

Prompt Engineering Generative AI AWS Lambda Backend Production Code Api Gateway

Job description

Project & Program Management AWS cloud services AWS Bedrock Python collaboration tools Observability & Monitoring cloud security

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.

Requirements

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.
Strong knowledge of managing and implementing Agile methodologies and practices.
Creates metrics and manages program-level performance indicators and metrics.
Strong experience on JIRA and Chalkpages. Strong experience in building the JIRA scrum/kanban boards and dashboards.

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.