AI​/ML Engineer, Mid

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 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.

• 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 RAPID, 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.

• 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 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 RAPID.
• 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.

Salary range: $77,500.00 to $ (annualized USD). Benefits include health, life, disability, financial and retirement plans, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.