Agentic Forward Deployed Engineer
AI summary of the role
Embeds with Army enterprise client teams to map manual workflows and build, evaluate, deploy, and scale reliable AI agents across existing enterprise systems.
What you’ll do
- Map client workflows, systems, data flows, decision points, and exception paths
- Design and deploy AI agents integrated with enterprise tools, APIs, and data
- Build evaluation frameworks, golden datasets, regression tests, monitoring, and audit trails
- Drive workforce adoption, training, and transition to human supervision of automation
What you’ll bring
- 8+ years in software engineering, ML engineering, technical advising, or solutions engineering
- 4+ years building generative or agentic AI applications
- Production experience deploying, evaluating, monitoring, and iterating LLM-powered systems or agents
- Production Python or TypeScript development and enterprise systems integration experience
Technologies
Python · TypeScript · LLMs · retrieval-augmented generation · multi-agent orchestration · BPMN · Kubernetes · infrastructure-as-code
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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