AI/ML Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Hampton, VANorfolk, VA
Salary
$77,500–$176,000 / yr
Employment
Full-time
Posted
45 days ago
Freshness
Confirmed live today
Closes
Dec 14, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $127k
$55k $286k
below market most similar roles pay here above market

This role pays less than 97% of similar roles. Most pay $171,000–$249,000 — the blue band above. At the midpoint, this role pays about $127k versus about $210k 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 1724 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

The AI/ML Engineer joins a team focused on improving critical IT operations for integrated warfighting capabilities. This role involves developing tools to streamline IT operations, enhancing platform productivity, and supporting Agentic AI for next-generation autonomy and decision-support. You will build reproducible pipelines, automate workflows, and integrate AI capabilities into production systems while managing policy-controlled containerized applications and data workloads. Key responsibilities include troubleshooting CI/CD pipeline failures and ensuring seamless integration across complex, secure environments. You will utilize Python, Linux Shell Script, Kubernetes, Docker, and Jenkins. The role requires expertise in AIOps, MLOps, ModelOps, and DataOps to optimize data flows and workload management across hybrid compute environments. You will collaborate with engineers to align ML workflows with infrastructure and security requirements for resilient mission execution.

What you'll do

  • Design and maintain robust AI/ML pipelines to support mission-critical operations.
  • Automate infrastructure provisioning and continuous deployment workflows across multiple technical stacks.
  • Manage and orchestrate containerized applications and data workloads in secure environments.
  • Troubleshoot and resolve failures within CI/CD pipelines using Kubernetes, Docker, or Jenkins.
  • Integrate AI capabilities into production systems to enhance platform productivity and decision-support.
  • Implement automated testing and security scans into existing deployment pipelines.
  • Monitor and optimize workload performance across hybrid compute environments.

What we're looking for

  • 3+ years of experience developing tools and processes to drive DevOps or DevSecOps maturity.
  • 3+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools.
  • 3+ years of experience automating infrastructure provisioning and continuous automation across multiple technical stacks.
  • 3+ years of experience troubleshooting and resolving issues with CI/CD pipelines using Kubernetes, Docker, or Jenkins.
  • 3+ years of experience with AI/ML capabilities applied to policy-controlled workload management and orchestration.
  • 3+ years of experience troubleshooting and resolving issues with open source and commercial tools in public cloud environments.
  • Experience with AI/ML frameworks, container orchestration platforms, and adding testing and security scans to pipelines.
  • Secret clearance, Bachelor's degree, and experience with AWS, Azure, GCP, or TS/SCI clearance (preferred).

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