AI Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Fort Meade, MD
Salary
$99,000–$225,000 / yr
Posted
72 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 58% of similar roles. Most pay $149,000–$214,931 — the shaded band above. At the midpoint, this role pays about $162k versus about $182k 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.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Engineer

As an AI Engineer, you will serve as a subject matter expert on the team to design, test, optimize, and operationalize models across cloud, edge, and hybrid environments. You will be responsible for selecting architectures, implementing robust deployment pipelines, and integrating models with enterprise systems while collaborating with data engineers and network architects. Your daily work involves managing the model lifecycle, including feature engineering, fine-tuning, retraining cycles, and establishing monitoring frameworks to detect performance drift. To succeed, you must possess expertise in Python or Rust, along with experience in MLOps workflows and distributed compute frameworks. You will solve complex problems within mission-critical environments by ensuring models remain performant and reliable. The role requires a deep understanding of model evaluation techniques and secure engineering practices like adversarial robustness to support evolving mission needs.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Design, test, and optimize AI models across cloud, edge, and hybrid environments.
  • Develop and implement robust deployment pipelines and MLOps workflows for mission-critical systems.
  • Select appropriate model architectures and lead the technical direction for AI solutions.
  • Perform feature engineering, fine-tuning, and retraining cycles to improve model performance.
  • Implement monitoring frameworks to detect performance drift and operational issues.
  • Evaluate emerging AI/ML frameworks and technologies to ensure alignment with mission objectives.
  • Integrate models with enterprise systems while ensuring secure and scalable infrastructure.

What we're looking for

  • TS/SCI clearance with polygraph is required.
  • A Bachelor's degree and 4+ years of experience in data science or AI/ML engineering are required.
  • An HS diploma or GED and 6+ years of experience in data science or AI/ML engineering are acceptable alternatives.
  • Experience with programming languages such as Python or Rust is required.
  • Experience developing, training, validating, optimizing, and deploying AI/ML models is required.
  • Knowledge of model evaluation techniques and monitoring frameworks for performance drift is required.
  • Ability to design and implement MLOps workflows and deployment pipelines is required.
  • Knowledge of computing, storage, and networking requirements across training and inference phases is required.

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