AI​/ML Engineer, Mid

Overview

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As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission systems and support faster, more informed decision-making across the national security ecosystem. You will contribute across the development lifecycle supporting data processing, model creation, MLOps workflows, and the integration of scalable AI solutions into operational environments while working closely with senior engineers and mission partners.

Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company’s AI/ML engineering role definitions. You will partner closely with cross‑functional engineering, mission SMEs, and product teams to deliver production‑grade systems aligned with Booz Allen’s AI modernization approaches.

What You ll Work On:

• Develop and implement AI-engineered signal-processing and automation tools and capabilities for EO / IR applications.
• Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in support of modernizing analysis workflows.
• Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and processes.
• Contribute to the architecture and implementation of novel approaches for rapidly fielding capabilities, including using streaming data sets and NRT feeds.

Join us. The world can’t wait.

• 4+ years of experience developing AI / ML capabilities to operate in a microservice stack
• Experience devising AI-agent planning, reasoning, and execution loops
• Experience with Python-based ML frameworks such as PyTorch or Tensor Flow
• Experience demonstrating statically-sound model evaluation and AI quality metrics
• Experience building, deploying, and operating production ML models using either supervised, unsupervised, or anomaly detection efforts
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor s degree in a STEM field

• Experience in GPU programming, including CUDA or RAPIDs
• Experience with AWS and containerization of models in a classified environment
• Experience with ML engineering and MLOps, including model versioning, CI / CD for ML, monitoring, drift detection, and automated retraining
• Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
• Master’s degree in CS, AI, Data Science, or a related field

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as…