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AI Engineer

Job in Fort Belvoir, Fairfax County, Virginia, 22060, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-07-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 77600 - 176000 USD Yearly USD 77600.00 176000.00 YEAR
Job Description & How to Apply Below

Your growth matters to us - explore our career development opportunities.

BE EMPOWERED TO SUCCEED

Connect with others in our people-first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

Learn how we’ll support you as you pursue a balanced, fulfilling life.

YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer‑focused solution. We need your technical knowledge and desire to problem‑solve to support an enterprise‐wide application and data capability. As an artificial intelligence engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of critical solutions by applying best‑fit ML algorithms and technologies. You’ll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world‑class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks.

Work with us to solve real‑world challenges and define AI strategy for our national security customers.

Join us. The world can’t wait.

AI Engineer The Opportunity

As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer‑focused solution. We need your technical knowledge and desire to problem‑solve to support an enterprise‑wide application and data capability. As an artificial intelligence engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of critical solutions by applying best‑fit ML algorithms and technologies. You’ll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world‑class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks.

Work with us to solve real‑world challenges and define AI strategy for our national security customers.

Join us. The world can’t wait.

You Have
  • 3+ years of experience in software engineering, machine learning engineering, or AI systems development using Python
  • Experience building, deploying, and maintaining LLM‑powered systems and complex data pipelines in production environments
  • Experience implementing advanced prompting strategies, AI orchestration frameworks such as Lang Chain or Llama Index, LLM inference engines such as vLLM or TGI, and tool calling and agentic workflows
  • Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, and Elasticsearch, and Retrieval‑Augmented Generation (RAG) pipelines
  • Ability to translate early‑stage prototypes into robust and scalable production systems
  • Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability
  • Ability to obtain a Secret clearance
  • Bachelor’s degree
Nice If You Have
  • Experience collaborating with MLOps, Dev Ops, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling
  • Experience working with cloud platforms such as AWS, Azure, and GCP and containerization technologies including Docker and Kubernetes
  • Experience with underlying model architectures, inference optimization techniques, or fine‑tuning open‑source models
  • Experience with distributed systems,…
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