Senior AI/ML Engineer — TS/SCI Clearance

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

Job summary

Booz Allen Hamilton in the United States seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision making across the national security landscape.

You will work across data processing, model development, MLOps, and integration into operational environments, applying NLP/LLM, computer vision, and modern software practices.

Qualifications

• 5+ years of experience building ML models (NLP/LLMs, CV, deep learning)
• Experience operating ML capabilities in a microservice stack
• Experience shipping production-grade APIs and distributed systems
• Familiarity with data processing libraries and scientific computing tools
• Bachelor's degree in a STEM field and TS/SCI clearance preferred

Responsibilities

• Design, develop, and deploy AI/ML models including NLP/LLMs and computer vision
• Build scalable data pipelines for training, evaluation, and improvement
• Integrate AI/ML into operational environments with security, reliability, and observability
• Perform model optimization, versioning, and AB testing
• Apply modern software engineering practices using Python, Java, Scala, Rust in microservices
• Collaborate with cross-functional teams to define technical approaches
• Prepare technical docs and support customer requirements

Skills

AI/ML engineering

NLP / LLMs

Data pipelines

MLOps

Python

Java

Scala

Rust

Distributed systems

Cloud platforms

Security compliance

Education

Bachelor's degree in STEM

Master's degree in CS/AI/ML/Data Science

Tools

NumPy

Pandas

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

GitLab

Job description

Booz Allen Hamilton in the United States seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision making across the national security landscape.

You will work across data processing, model development, MLOps, and integration into operational environments, applying NLP/LLM, computer vision, and modern software practices.