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About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1662 open roles
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The AI Solution Architect will design and implement AI solution architectures and strategies to address complex business problems while adhering to ethical considerations and organizational goals. This role involves building data pipelines, ontologies, and application workflows, as well as developing secure analytics ecosystems including log pipelines and monitoring frameworks. The architect will integrate AI/ML capabilities into production workflows, specifically focusing on LLM-backed assistants and model-augmented decision aids. Key technologies and skills include Palantir Foundry, Gotham, Kubernetes, and DevSecOps practices like containerization and CI/CD. The work centers on delivering mission-critical systems within restricted, air-gapped, or degraded connectivity environments, often requiring architectural tradeoffs under high-pressure conditions. Candidates must navigate complex technical landscapes to provide innovative solutions for defense programs and command and control systems.
Implement DevSecOps practices such as containerization, orchestration, and CI/CD in restricted environments.
Make architectural tradeoffs for complex problems under high-pressure mission conditions and shifting requirements.
Mentor and supervise employees in both technical competencies and company-specific skills.
Communicate architectural decisions clearly to engineers, government stakeholders, and senior non-technical leaders.
What we're looking for
10+ years of experience architecting and delivering AI-enabled mission or enterprise systems in restricted or classified environments.
10+ years of experience designing data pipelines, ontologies, and application workflows on platforms like Palantir Foundry or Gotham.
10+ years of experience building secure analytics ecosystems, including log pipelines, monitoring frameworks, and intelligence fusion environments.
10+ years of experience with DevSecOps practices like containerization, orchestration, and CI/CD in limited toolchain environments.
10+ years of experience integrating AI/ML capabilities into production workflows, such as LLM-backed assistants or model-augmented decision aids.
10+ years of experience making architectural tradeoffs in constrained, high-pressure mission conditions with restricted toolsets or fragmented networks.
Artificial Intelligence
Machine Learning
Deep Learning
Large Language Models (LLMs)
Agentic AI
DevSecOps
CI/CD
Containerization
Orchestration
Software Design Patterns
Automated Testing
Model Context Protocol (MCP)