AI/ML Software Engineer

AI/ML Software Engineer

The Opportunity: 
As an AI software engineer, you know that good software is more than just a nice-looking interface + data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation. We’re looking for a software engineer like you to create artificial intelligence and machine learning solutions that help solve The Department of War (DoW) and Intelligence Community's (IC) toughest problems.

On our team, you’ll create and implement complete end‑to‑end solutions that modernize DoW and IC ISR mission and weapon‑system environments. You’ll ensure that your team’s solutions consider the broader enterprise ecosystem, spanning multi‑domain data, secure ISR architectures, and emerging mission applications as well as future functionality and enhancements needed to accelerate capability transition to operational users.

At a high level, you will design, develop, integrate, and deploy advanced AI/ML driven software and analytics that strengthen ISR decision advantage and modernization efforts for the DoW and IC. Additionally, you’ll deepen your skill set in areas like secure ISR data engineering, advanced analytics, operational prototyping, software-defined ISR architectures, DevSecOps pipelines, and mission‑focused AI/ML experimentation all within some of the DoW's and IC’s most critical R&D and mission‑engineering environments.

Ready to transform ISR mission systems and next‑generation warfighter capabilities for the better with AI technology?

Join us. The world can’t wait. 

You Have:  

• 5+ years of experience with Python

• Experience with common ML frameworks, such as PyTorch, TensorFlow, or scikit‑learn

• Experience developing, training, and deploying AI/ML models, including supervised, unsupervised, and deep learning

• Experience with software engineering, including version control, automated testing, CI/CD, and containerization practices consistent with modern ML engineering expectations

• Experience building end‑to‑end data and ML pipelines, including data ingestion, feature engineering, model evaluation, and integration into operational systems

• Ability to work in secure, mission‑focused environments and collaborate with cross‑functional teams, including data engineers, developers, and ISR mission SMEs to align solutions with DoW and IC priorities

• Ability to obtain Secret clearance

• Bachelor’s degree in Computer Science, Data Science, or Engineering and 5+ years of experience with AI/ML or Master's degree and 3+ years of experience with AI/ML

Nice If You Have:  

• Experience with MLOps frameworks and tooling, including MLflow, Kubeflow, experiment tracking, and reproducible pipelines

• Experience with cloud or on‑prem secure compute environments, such as AWS, Azure, GCP, or high‑side mission systems

• Experience with emerging techniques, including generative AI, LLM fine‑tuning, and RAG

• Experience in software‑defined ISR architectures, DevSecOps pipelines, or operational prototyping in government R&D ecosystems

• Knowledge of ML lifecycle best practices

• TS/SCI clearance

• Master's degree

• AI/ML Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits