AI/ML Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Fort Meade, MD
Salary
$99,000–$225,000 / yr
Posted
4 days ago
Closes
Sep 8, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $162k
$83k most similar roles pay here $251k

This role pays less than 74% of similar roles. Most pay $162,000–$235,125 — the shaded band above. At the midpoint, this role pays about $162k versus about $199k 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/ML Engineer

As an experienced AI/ML Engineer on our national security team, you will design and maintain robust AI/ML pipelines, automate workflows, and integrate capabilities into production systems to enhance mission performance. Your daily tasks include building reproducible pipelines, applying automation best practices, and introducing tools that improve system reliability in hybrid compute environments. You will collaborate with a cross-functional team of AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to ensure seamless integration of AI solutions with infrastructure and security requirements. Key skills required are 6+ years of software engineering experience, proficiency in Python, and expertise in modern AI/ML frameworks like TensorFlow or PyTorch. Additional knowledge of containerization technologies such as Docker, cloud services like AWS or Azure, and CI/CD tools is beneficial for optimizing data flow and automating operational workflows.

What you'll do

  • Design and maintain robust AI/ML pipelines for model training and deployment.
  • Automate workflows to ensure efficient and reproducible ML system operations.
  • Integrate AI capabilities into production systems while adhering to security requirements.
  • Implement monitoring solutions to track model performance, resource utilization, and system health.
  • Collaborate with cross-functional teams to align AI workflows with infrastructure needs.
  • Optimize data flow and support resilient mission execution across hybrid compute environments.

What we're looking for

  • 6+ years of experience in software engineering and developing AI/ML pipelines.
  • Expertise in Python for building, testing, deploying, and operating end-to-end AI pipelines.
  • Experience integrating AI/ML capabilities into production systems and mission workflows securely.
  • Knowledge of hybrid compute environments (cloud/on-prem) and automation best practices.
  • Ability to implement monitoring and observability solutions for model performance and system health.
  • Strong collaboration skills with cross-functional teams including data engineers, cloud architects, and ISSEs.

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