Applied AI Engineer
AI summary of the role
This role is for an Applied AI Engineer on Booz Allen's national security team, focusing on training, testing, deploying, and maintaining ML models that process massive datasets.
What you’ll do
- Train, test, deploy, and maintain models that learn from data for national security applications.
- Own and define the direction of critical solutions by applying best-fit ML algorithms and technologies.
- Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world-class solutions at massive scale.
- Guide clients in navigating AI and ML algorithms, tools, and frameworks.
What you’ll bring
- 3+ years of experience in software engineering, applied AI and ML, or full-stack development, including AI integrations.
- Experience with Python and building API endpoints (FastAPI or Flask) or rapid UI frameworks (Streamlit or Gradio).
- Experience conducting evaluation and tuning of AI outputs, including prompt refinement, retrieval logic optimization, and custom heuristics.
- TS/SCI clearance.
Technologies
Python · FastAPI · Flask · Streamlit · Gradio · React · TypeScript · MLOps · AI red teaming · Security+
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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