AI/ML Engineer – Defense Tech Innovator

631 Booz Allen Hamilton_United States; Hamilton (VA); On-site; USD 55,000 - 126,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Professional development

Job summary

Booz Allen is hiring an AI/ML Engineer to design, train, test, deploy, and maintain models that learn from data for defense technology applications. You will join a team of ML engineers to deliver customer-focused solutions and define ML strategy for mission-critical programs.

The role emphasizes building production-grade ML systems, collaborating with customers, and staying current with TensorFlow, PyTorch, and related tools, while navigating security and clearance requirements.

Qualifications

• 1+ years of experience in AI/ML, data science, data engineering, or software development including deploying ML models.
• Experience integrating large language models (LLMs) or agentic workflows into software stacks.
• Experience with deep learning, computer vision, or generative AI.
• Experience programming with ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM.
• Experience using AI productivity tools for coding such as Cursor, Codex, or Devin.
• Ability to solve complex problems, iterate rapidly, and deliver results independently and collaboratively.
• Ability to obtain a Secret clearance.
• Bachelor’s degree.

Skills

AI/ML experience

LLM integration

Deep learning

ML frameworks

AI productivity tools

Secret clearance

Education

Bachelor's degree

Master's degree

Tools

TensorFlow

PyTorch

llama.cpp

vLLM

Docker

Kubernetes

Cursor

Codex

Devin

Kafka

Red Panda

Confluent

AWS

Azure

Job description

Booz Allen is hiring an AI/ML Engineer to design, train, test, deploy, and maintain models that learn from data for defense technology applications. You will join a team of ML engineers to deliver customer-focused solutions and define ML strategy for mission-critical programs.

The role emphasizes building production-grade ML systems, collaborating with customers, and staying current with TensorFlow, PyTorch, and related tools, while navigating security and clearance requirements.