AI and ML Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Alexandria, VAArlington, VA
Salary
$128,700–$292,000 / yr
Posted
6 days ago
Closes
Sep 6, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $210k
$109k most similar roles pay here $312k

This role pays more than 51% of similar roles. Most pay $167,449–$236,900 — the shaded band above. At the midpoint, this role pays about $210k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI and ML Engineer

As an experienced AI/ML engineer at Booz Allen, you will join a mission-driven team to architect and deliver advanced technology solutions for critical projects in areas like enterprise network operations and homeland security. Your day-to-day involves coding, deploying, and developing AI/ML pipelines, models, and applications that organize disparate data into meaningful insights. You’ll work on secure analytics ecosystems, data integration, and user-facing applications across restricted environments, leveraging platforms such as Palantir Foundry or Gotham. Key skills include hands-on experience with DevSecOps practices like containerization, CI/CD, and automated testing, as well as integrating AI/ML capabilities into production workflows. You must have a TS/SCI clearance and 5+ years of relevant experience in designing data pipelines, building secure analytics ecosystems, and implementing ML activities on mission-driven projects.

What you'll do

  • Design and implement data pipelines and ontologies on platforms like Palantir Foundry or Gotham.
  • Develop secure analytics ecosystems including log pipelines and monitoring frameworks for restricted environments.
  • Integrate AI/ML capabilities into production workflows, such as LLM-backed assistants and model-augmented decision aids.
  • Manage the assessment, design, building, and maintenance of scalable AI/ML applications and solutions.
  • Adapt DevSecOps practices like containerization, orchestration, CI/CD for limited toolchain environments.

What we're looking for

  • 5+ years of experience architecting and delivering AI-enabled mission or enterprise systems.
  • 5+ years of hands-on experience designing data pipelines and application workflows on restricted platforms.
  • Expertise in building secure analytics ecosystems, including log pipelines and monitoring frameworks.
  • Proficiency with DevSecOps practices adapted for limited toolchain environments.
  • Experience integrating AI/ML capabilities into production workflows and operator tooling.
  • TS/SCI clearance required.
  • Bachelor’s degree or equivalent experience.

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