AI and ML Data Scientist
AI summary of the role
Design, develop, and deploy agentic AI systems for military intelligence, using LLMs, ML, NLP, and multi-agent architectures to transform fragmented data into actionable intelligence for defense and national security clients.
What you’ll do
- Design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, and data processing workflows for military intelligence
- Work closely with clients, analysts, engineers, and mission stakeholders to identify high-value use cases and develop agentic AI capabilities
- Ensure AI systems are reliable, explainable, secure, testable, and aligned to operational requirements
- Develop intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage
What you’ll bring
- Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities using Python and modern AI/ML libraries (PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA)
- Experience developing agentic AI systems including autonomous agents, multi-step reasoning, RAG, or human-in-the-loop capabilities
- Experience supporting military intelligence, defense intelligence, or national security missions and developing AI for classified or air-gapped environments
- TS/SCI clearance
Technologies
Python · PyTorch · Scikit-Learn · LangChain · LlamaIndex · Hugging Face · CUDA · RAG · LLM
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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