AI/ML Engineer, Senior

Booz Allen Hamilton•Dayton, OH

4d•$99,000 - $225,000•Onsite

About The Position

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.

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 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 To Haves

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

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 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.