AI​/ML Engineer, Senior Jobs

AI/ML Engineer, Senior

Alexandria, VA Top Secret/SCI Polygraph Career Level not specified $99,000 - $225,000

The Opportunity:

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. 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:

• Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
• Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
• Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
• Integrate AI / ML capabilities into operational environments with attention to security, reliability, observability, and performance.
• Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
• Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI / ML engineering frameworks.
• Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
• Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.

Join us. The world can't wait. You Have:

• 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
• Experience developing AI / ML capabilities to operate in a microservice stack
• Experience developing or maintaining production-grade APIs, microservices, or distributed systems
• Experience with data processing frameworks and scientific computing libraries such as Num Py, Pandas, PyTorch, Tensor Flow, or scikit-learn
• Experience designing, configuring, or deploying software systems in operational environments
• 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 LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
• Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP
• Experience with automated testing tools and model evaluation frameworks
• Experience with CI / CD tooling, source control such as Git Lab, and containerization technologies such as Docker, Podman, or Kubernetes
• Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
• AI / ML, Cloud, or Solution Architecture Industry Certifications

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.

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…