Senior AI/ML Engineer — NLP, LLMs & Production Systems

Booz Allen Hamilton; Alexandria (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for mission systems. You will work end-to-end across data processing, model development, MLOps, and deployment in secure environments.

You will leverage NLP/LLM, computer vision, and modern software practices, collaborating with cross‑functional teams to deliver production‑grade systems and measurable mission impact.

Qualifications

• Bachelor's degree in a STEM field required.
• 5+ years in ML model development including NLP/LLMs.
• Experience deploying production APIs and microservices.
• Experience with data processing libraries such as NumPy/Pandas/PyTorch/TF/scikit-learn.

Responsibilities

• Design, develop, and implement AI/ML models including NLP/LLM pipelines and computer vision models.
• Build scalable data pipelines for training and evaluation of models.
• Develop end-to-end production systems with microservices and APIs.
• Integrate AI/ML into operational environments with security, reliability, and observability.
• Model optimization, tuning, versioning, and AB testing for mission impact.
• Collaborate with multi-disciplinary teams and prepare design documentation.
• Support customer-driven requirements and design reviews.

Skills

NLP/LLM development

Deep learning

Microservices

APIs & distributed systems

Data processing with NumPy/Pandas/PyT

Security & observability

TS/SCI clearance

Education

Bachelor's degree in STEM

Master's degree in CS/AI/ML

Tools

AWS

Docker

Kubernetes

Job description

Booz Allen Hamilton is seeking a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for mission systems. You will work end-to-end across data processing, model development, MLOps, and deployment in secure environments.

You will leverage NLP/LLM, computer vision, and modern software practices, collaborating with cross‑functional teams to deliver production‑grade systems and measurable mission impact.