AI/ML Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Hampton, VANorfolk, VA
Salary
$77,500–$176,000 / yr
Posted
72 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 29, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $127k
$56k most similar roles pay here $283k

This role pays less than 96% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $127k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer, you will join the team to streamline IT operations and enhance platform productivity for integrated warfighting capabilities. You will build reproducible pipelines, automate workflows, and integrate Agentic AI into production systems while managing policy-controlled containerized applications and data workloads. Your daily work involves collaborating with Data Engineers, Cloud Architects, and ISSEs to align machine learning flows with infrastructure requirements across hybrid compute environments. To succeed, you must utilize Python, Linux Shell Script, Kubernetes, Docker, and Jenkins to manage CI/CD pipelines and automate infrastructure provisioning. You will also apply your expertise in AIOps, MLOps, and data ops to optimize mission-critical systems. The role requires proficiency with machine learning frameworks for monitoring and optimization within secure environments to ensure resilient decision-support capabilities and automated operational workflows.

What you'll do

  • Develop and maintain robust AI/ML pipelines to ensure reproducible results and reliable data flows.
  • Automate infrastructure provisioning and CI/CD workflows using tools like Kubernetes, Docker, and Jenkins.
  • Integrate AI capabilities into production systems while ensuring compliance with security and policy requirements.
  • Manage containerized application workloads and orchestrate data movement across hybrid compute environments.
  • Troubleshoot and resolve issues related to pipeline failures, system slowness, and cloud environment errors.
  • Implement automated testing and security scans within the deployment pipelines.
  • Optimize operational workflows and monitoring for mission-critical AI systems and warfighting capabilities.

What we're looking for

  • 5+ years of experience developing tools and processes to drive DevOps or DevSecOps maturity through automation.
  • 5+ years of experience with scripting languages like Python or Linux Shell Script and configuration management tools.
  • 5+ years of experience automating infrastructure provisioning across multiple technical stacks.
  • 5+ years of experience troubleshooting CI/CD pipeline issues using Kubernetes, Docker, or Jenkins.
  • 5+ years of experience with AI/ML capabilities applied to policy controlled workload management and orchestration.
  • 5+ years of experience troubleshooting open source and commercial tools in public cloud environments.
  • Bachelor's degree.

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