Mission-Critical AI Engineer: Scalable ML & Deployment

Booz Allen Hamilton; Fort Meade (FL); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is hiring an experienced AI Engineer to design, test, optimize, and operationalize AI/ML models across cloud, edge, and hybrid environments. You will drive the technical direction for mission-critical AI solutions, integrate models with enterprise systems, and ensure robust data pipelines and secure infrastructure.

Ideal candidates bring 6+ years of AI/ML experience, proficiency in Python or Rust, and demonstrated ability to deploy and monitor models with MLOps workflows.

Qualifications

• 6+ years of experience with data science or AI/ML engineering.
• Experience with programming languages such as Python or Rust.
• Experience developing, training, validating, and deploying AI/ML models.
• Experience optimizing AI/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/ML engineering, or Bachelor’s degree and 4+ years of experience with data science or AI/ML engineering.

Skills

AI/ML experience

Python/Rust

MLOps

Model evaluation

Model deployment

Drift monitoring

TS/SCI clearance

Education + experience mix

Education

HS diploma or GED + 6+ years experience

Bachelor's degree + 4+ years experience

Tools

Distributed compute frameworks

Job description

Booz Allen Hamilton is hiring an experienced AI Engineer to design, test, optimize, and operationalize AI/ML models across cloud, edge, and hybrid environments. You will drive the technical direction for mission-critical AI solutions, integrate models with enterprise systems, and ensure robust data pipelines and secure infrastructure.

Ideal candidates bring 6+ years of AI/ML experience, proficiency in Python or Rust, and demonstrated ability to deploy and monitor models with MLOps workflows.