This role pays less than
57%
of similar roles. Most pay
$148,875–$214,000
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$181k
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
787 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 764 roles with salary data.
AI Engineer
As an AI Model SME on the team, you will design, test, optimize, and operationalize models across cloud, edge, and hybrid environments to support mission-critical systems. 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. The role requires proficiency in Python or Rust, along with expertise in MLOps workflows, distributed compute frameworks, and evaluation techniques. You will solve complex problems within a national security context by ensuring models remain performant and reliable. Required skills include advanced statistical analysis, knowledge of adversarial robustness, and the ability to navigate evolving AI technologies for mission-focused objectives.
What does a AI Engineer earn?
Median $211200 from 139 postings across 38 companies.
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 and manage fine-tuning and retraining cycles for machine learning models.
Implement monitoring frameworks to detect performance drift and operational issues in production.
Evaluate emerging AI/ML frameworks and technologies to ensure alignment with mission objectives.
Integrate AI models with enterprise systems while ensuring secure, scalable infrastructure support.
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 for model training, tuning, and inference.
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 and performance degradation.
TS/SCI clearance with a polygraph is required; HS diploma plus 6 years experience or Bachelor's degree plus 4 years experience in data science or AI/ML engineering.