AI​/ML Engineer, Senior

Job Number: R0242678

AI/ML Engineer, Senior

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.

• 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 multidisciplinary teams to identify mission needs, gather requirements, and define technical approaches.
• Prepare technical documentation, contribute to design reviews, and support customer‑driven requirements.

• 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning.
• 5+ years of 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.
• Experience with CI/CD tooling, source control such as Git Lab, and containerization technologies such as Docker, Podman, or Kubernetes.
• 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 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.
• Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field.
• AI/ML, Cloud, or Solution Architecture Industry Certifications.

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…