Agentic AI Developer
AI summary of the role
Build and operate secure agentic AI applications for a defense client using Booz Allen’s Agent Foundry platform in AWS.
What you’ll do
- Build, integrate, test, deploy, and maintain AI agents and supporting applications
- Connect agents to enterprise data and tools and implement retrieval and workflow orchestration
- Evaluate application performance, reliability, and user feedback to drive improvements
- Translate defense mission needs into tested software features with security controls and human oversight
What you’ll bring
- 2+ years developing production-grade Python software
- 2+ years developing, integrating, or deploying AI/ML applications using LLMs, RAG, or agentic workflows
- Experience with Git-based development, code reviews, automated testing, and CI/CD
- Knowledge of LLM agent patterns, AWS fundamentals, and secure development practices
Technologies
Python · AWS Bedrock · Amazon SageMaker AI · LangGraph · LangChain · Strands Agents · Model Context Protocol · Terraform · Kubernetes · PyTorch
About Booz Allen
Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.
Public · 5000+ people
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