AI/ML Engineer, Senior The Opportunity
As a Senior AI/ML Engineer, you will design, build, and deploy advanced artificial intelligence and machine learning 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. We value first-principles reasoning and physically interpretable models, so experience developing hybrid systems that combine calibrated sensor models, deterministic algorithms, probabilistic inference, and learned components is particularly desirable. Candidates should be motivated by building systems that are scientifically explainable, empirically validated, and capable of operating robustly across both synthetic and real-world sensing environments. 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.
Join us. The world can’t wait.
What You'll Do:
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, or 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 accreditation or security processes as required in classified environments
You Have:
5+ years of experience developing machine learning models, such as NLP, 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 NumPy, Pandas, PyTorch, TensorFlow, or scikit‑learn
Experience designing, configuring, or deploying software systems in operational environments
Experience with CI/CD tooling, source control, such as GitLab, 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
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, or GCP
Knowledge of automated testing tools and model evaluation frameworks
Master’s degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field
AI/ML, cloud, or solution architecture 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…