Booz Allen Hamilton

AI Solution Architect

Nellis AFB, NV, US$112,800-$257,000Posted 1 month ago

Job Description

The Opportunity

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and met hods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies.

You Have

  • 10+ years of experience architecting and delivering AI-enabled mission or enterprise systems, including data integration, secure compute, and operator-facing applications across restricted or classified environments
  • 10+ 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
  • 10+ years of experience building secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion environments, whether greenfield or migrated from legacy tooling
  • 10+ 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
  • 10+ 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
  • 10+ years of experience making sound architectural tradeoffs in constrained, shifting, or high-pressure mission c ond itions such as restricted toolsets, tight timelines, fragmented networks, or mid execution r...

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