AI/ML Engineer, Senior

About the Role

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. 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.

Responsibilities

• 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 A/B testing to ensure robust mission impact.
• Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems.
• 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.

Requirements

• 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 NumPy, Pandas, PyTorch, TensorFlow, 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.

Preferred Qualifications

• 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 GitLab, 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.

Benefits

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.

Pay

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 $99,000.00 to $225,000.00 (annualized USD).

Schedule

This posting will close within 90 days from the posting date.

Work Model:

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.