Senior AI/ML Engineer for Mission Systems

Booz Allen Hamilton; Aurora (CO); 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 across mission systems. You will work on NLP/LLM pipelines, CV models, and scalable data engines, aligning with Booz Allen’s AI modernization frameworks.

You will collaborate with cross‑functional teams, feature end‑to‑end systems, and ensure production readiness, reliability, and security in operational environments. The role requires TS/SCI readiness and a STEM background.

Qualifications

• 5+ years building ML models including NLP/LLM/vision and generative AI.
• 5+ years delivering AI/ML in microservice stacks and APIs.
• Experience with data processing libraries and scientific computing tools.

Responsibilities

• Design, develop, and deploy AI/ML models and pipelines.
• Build scalable data pipelines for training and evaluation.
• Develop production systems with microservices and APIs.
• Integrate AI capabilities into secure, observable environments.
• Model optimization, versioning, and A/B testing for impact.
• Apply Python/Java/Scala/Rust within Booz Allen frameworks.
• Collaborate with cross‑functional teams and document designs.
• Support accreditation or security processes in classified settings.

Skills

NLP/LLM/CV

Microservices

APIs & distributed systems

NumPy/Pandas/PyTorch/TF/Scikit-learn

Production systems design

CI/CD (GitLab) & Docker/Kubernetes

Security clearance

BSc STEM

Education

Bachelor's degree in STEM

Master's degree in CS/AI/DS

AI/ML certifications

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

GitLab

AWS

Azure

GCP

Job description

Booz Allen Hamilton is seeking a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions across mission systems. You will work on NLP/LLM pipelines, CV models, and scalable data engines, aligning with Booz Allen’s AI modernization frameworks.

You will collaborate with cross‑functional teams, feature end‑to‑end systems, and ensure production readiness, reliability, and security in operational environments. The role requires TS/SCI readiness and a STEM background.