Applied AI Engineer at Booz Allen in Fort Meade, MD

Job description

Applied AI Engineer The Opportunity: As an experience d engineer, you know that building reliable and scalable AI systems requires far more than just model development, it demands strong sof tware 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 sof tware 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. You Have: Experience developing with Python or Rus t Experience with Git Experience with integration of LLMs or agentic workflows within sof tware 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 sof tware engineering or AI / ML engineering, or Bachelor’s degree and 4+ years of experience with sof tware engineering or AI / ML engineering Nice If You Have: 10+ years of experience with sof tware 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individu