AI/ML Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Hampton, VANorfolk, VA
Salary
$77,500–$176,000 / yr
Posted
2 days ago
Closes
Sep 23, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $127k
$60k most similar roles pay here $244k

This role pays less than 95% of similar roles. Most pay $162,000–$226,600 — the shaded band above. At the midpoint, this role pays about $127k versus about $194k 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 743 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 731 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

Join our team as an experienced AI/ML Engineer where you will play a crucial role in enhancing integrated warfighting capabilities through advanced IT operations. You will build and maintain robust AI pipelines, automate workflows, and integrate AI capabilities into production systems to ensure seamless operation across complex environments. Collaborating closely with AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs, your responsibilities include aligning AI and ML workflows with infrastructure and security requirements for resilient mission execution. Key skills required are 5+ years of experience in DevOps or DevSecOps automation using Python, Linux Shell Script, Kubernetes, Docker, Jenkins, and familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform. You will work on Agentic AI, a critical enabler for next-gen autonomy and decision-support capabilities, optimizing resilience through data flow management, operational workflow automation, and workload environmental monitoring in hybrid compute environments.

What you'll do

  • Design and maintain robust AI/ML pipelines for mission-critical solutions.
  • Automate workflows to enhance performance and reliability of AI systems.
  • Integrate AI capabilities into production systems securely and efficiently.
  • Collaborate with cross-functional teams to align AI workflows with infrastructure requirements.
  • Troubleshoot and resolve issues related to CI/CD pipeline failures in cloud environments.
  • Optimize workload management and orchestration for resilient mission execution.

What we're looking for

  • 5+ years of experience in automating builds, testing, and monitoring across environments.
  • 5+ years of expertise with scripting languages (Python/Linux Shell) and configuration management tools.
  • 5+ years of experience in automating infrastructure provisioning and continuous automation across multiple stacks.
  • 5+ years of troubleshooting skills for CI/CD pipeline issues using Kubernetes, Docker, or Jenkins.
  • 5+ years of experience applying AI/ML to policy-controlled workload management and orchestration.

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