AI and ML Engineer
$128,700–$292,000 year
Hybrid · Arlington, Virginia, United States or Alexandria, Virginia, United States
Job Summary
AI/ML Engineer at Booz Allen Hamilton delivering mission-driven AI/ML solutions. Lead and execute hands-on design, development, and deployment of AI/ML pipelines, models, and applications to organize and extract insights from data across restricted environments. Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers to build secure analytics ecosystems, data pipelines, and operator tooling, including LLM-backed assistants and automated workflows. Role involves working on enterprise and defense-related projects, applying DevSecOps practices, cloud and on-prem architectures, and ensuring production-grade integration of AI capabilities with a focus on autonomous, scalable, and secure systems. Requires a Bachelor’s degree and 5+ years of relevant experience; TS/SCI clearance is required. The position is fully aligned with Booz Allen’s remote/hybrid/onsite work model with potential in-person obligations at US facilities across VA locations like Alexandria and Arlington.
Required Qualifications
- 5+ years of experience architecting and delivering AI-enabled mission or enterprise systems, including data integration, secure compute, and user-facing applications across restricted or classified environments
- 5+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air gapped, degraded connectivity, or multiclassification deployments
- 5+ years of experience building secure analytics ecosystems, including log pipelines, monitoring frameworks, or network operational dashboards, whether greenfield or migrated from legacy tooling
- 5+ years of experience with DevSecOps practices such as containerization, orchestration, CI/CD, and automated testing adapted for limited toolchain environments where standard pipelines don’t fully apply
- 5+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, including LLM-backed assistants, model augmented decision aids, or automation that expands what a small team can deliver
- Bachelor’s degree
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