AI and ML Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VAAlexandria, VA
Salary: $128,700–$292,000 / yr
Posted: 6 days ago
Closes: Sep 6, 2026
Nearby: 99+ roles within 25 mi

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

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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 the defense sector. Your daily tasks include designing data pipelines, implementing secure analytics ecosystems, and developing scalable ML applications that integrate into production workflows. You must possess extensive experience with platforms like Palantir Foundry or Gotham, DevSecOps practices, and containerization tools such as Kubernetes. Additionally, you should be adept at making architectural decisions under ambiguous conditions and effectively communicating these choices to both technical and non-technical stakeholders. This role demands a high degree of autonomy and technical curiosity, along with the ability to quickly learn new technologies and lead implementation efforts confidently.

Skills

Palantir Foundry Kubernetes CI/CD AWS DevSecOps Python PostgreSQL Maven Git Docker Terraform

What you'll do

Design and implement data pipelines and ontologies on platforms like Palantir Foundry.
Develop secure analytics ecosystems including log pipelines and monitoring frameworks.
Integrate AI/ML capabilities into production workflows for mission-critical systems.
Make architectural tradeoffs in constrained, high-pressure environments with tight timelines.
Lead engineers through full implementation of complex AI/ML solutions confidently.

What we're looking for

8+ years of experience architecting and delivering AI-enabled mission or enterprise systems.
8+ years of hands-on experience designing data pipelines and application workflows on platforms like Palantir Foundry.
Expertise in building secure analytics ecosystems, including log pipelines and monitoring frameworks.
Proficient in DevSecOps practices adapted for limited toolchain environments.
Experience integrating AI/ML capabilities into production workflows under constrained conditions.
TS/SCI clearance required.
Bachelor’s degree or equivalent experience.

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