Applied AI Engineer

Booz Allen Hamilton•Fort Meade, MD

9d•$99,000 - $225,000

About The Position

As an experienced engineer, you know that building reliable and scalable AI systems requires far more than just model development, it demands strong software engineering practices, automation, and seamless integration across complex environments. Your ability to design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technical expertise and problem‑solving mindset to support the development and operationalization of AI capabilities that directly enhance mission performance and decision‑making. As an AI and ML engineer on our national security team, you’ll build, test, deploy, and operate software end‑to‑end AI pipelines that keep mission systems running securely and efficiently. In this role, you’ll guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability. You’ll collaborate with a cross‑functional team of AI model engineers, data engineers, cloud architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. You’ll contribute to solutions that optimize data flow, automate operational workflows, ensure monitoring and observability, and support resilient mission execution across hybrid compute environments. Your engineering skills and experience with modern AI and ML frameworks will help clients navigate evolving toolchains, deployment patterns, and operational considerations for scalable AI systems. Work with us to build reliable AI pipelines, modernize mission workflows, and define AI and ML strategy. Join us. The world can’t wait.

Requirements

Experience developing with Python or Rust
Experience with Git
Experience with integration of LLMs or agentic workflows within software stacks
Experience with containerization or orchestration technologies such as Docker or Kubernetes
Knowledge of CI/CD pipelines
Ability to travel up to 25% of the time
TS/SCI clearance with a polygraph
HS diploma or GED and 6+ years of experience with software engineering or AI/ML engineering, or Bachelor’s degree and 4+ years of experience with software engineering or AI/ML engineering

Nice To Haves

10+ years of experience with software engineering or AI/ML engineering
Experience with JavaScript or Typescript, HTML, and CSS
Experience with AI agent frameworks
Experience developing Retrieval Augmented Generation (RAG)-enabled solutions
Ability to evaluate emerging AI and ML frameworks, libraries, or tool chains
Bachelor’s degree

Responsibilities

Build, test, deploy, and operate software end‑to‑end AI pipelines.
Guide the development of mission‑critical AI solutions by building reproducible pipelines.
Apply automation best practices.
Introduce emerging tools that enhance performance and reliability.
Collaborate with a cross‑functional team of AI model engineers, data engineers, cloud architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements.
Contribute to solutions that optimize data flow, automate operational workflows, ensure monitoring and observability, and support resilient mission execution across hybrid compute environments.
Help clients navigate evolving toolchains, deployment patterns, and operational considerations for scalable AI systems.