AI and ML Engineer, Mid

AI and ML Engineer, Mid The Opportunity:  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 sof tware 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.

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.  You Have:    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 TensorFlow Experience  demonstrating statically-sound model evaluation and AI quality met rics 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 Nice If You Have:    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  sof tware design patterns, including micro-service design and orchestration in Kubernetes deployment Master’s degree  in CS, AI, or Data Science Clearance:   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 contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to