below marketmost similar roles pay hereabove market
This role pays less than
61%
of similar roles. Most pay
$149,262–$235,487
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$192k
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
1815 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 893 roles with salary data.
JOB TITLE: AI Engineer
The AI Engineer joins the team as an AI Model SME to design, test, optimize, and operationalize models across cloud, edge, and hybrid environments. This role involves driving technical direction for mission-critical solutions by selecting architectures, implementing deployment pipelines, and integrating models with enterprise systems. Key responsibilities include feature engineering, supporting fine-tuning and retraining cycles, and implementing monitoring frameworks to detect performance drift. The successful candidate will utilize Python or Rust to develop, train, and validate models while managing computing, storage, and networking requirements. Core competencies include MLOps workflows, model evaluation techniques, and distributed compute frameworks. The work focuses on solving complex real-world challenges within mission-focused or national security environments, ensuring that deployed models remain performant, reliable, and aligned with specific operational objectives.
What does a AI Engineer earn?
Median $211200 from 145 postings across 39 companies.
Design, test, optimize, and operationalize AI models across cloud, edge, and hybrid environments.
Select best-fit architectures and implement robust deployment pipelines for mission-critical solutions.
Integrate AI models with enterprise systems and high-quality data pipelines.
Guide feature engineering approaches and support model fine-tuning and retraining cycles.
Implement monitoring frameworks to detect performance drift and operational issues.
Evaluate emerging AI and ML frameworks to provide technical leadership.
Analyze datasets and apply advanced statistical techniques to ensure model readiness.
What we're looking for
Experience with programming languages such as Python or Rust.
Experience developing, training, validating, and deploying AI and ML models.
Experience optimizing AI and ML models.
Knowledge of computing, storage, and networking requirements across model training, tuning, and inference phases.
Knowledge of model evaluation techniques.
Ability to design and implement model deployment pipelines and MLOps workflows.
Ability to implement monitoring frameworks for detecting model drift, performance degradation, and operational issues.
TS/SCI clearance with a polygraph.
HS diploma or GED and 6+ years of experience with data science or AI and ML engineering, or Bachelor’s degree and 4+ years of experience with data science or AI and ML engineering.
Experience with distributed compute frameworks (preferred).
Experience working in mission-focused or national security environments (preferred).
Experience evaluating new AI model architectures (preferred).
Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF (preferred).