AI Engineer

Booz Allen Hamilton•Arlington, VA

9d•$77,600 - $176,000•Remote

About The Position

As a programmer, you know that machine learning 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 to help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs. As a machine learning engineer on our Global Defense team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with senior architects, platform leads, and business stakeholders to deliver world-class solutions to solve meaningful problems across enterprise and mission environments. You’ll gain exposure to next-generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high-impact efforts that demand both technical skill and strategic insight. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for Global Defense. Join us. The world can’t wait.

Requirements

2+ years of experience with machine learning engineering in software engineering or data engineering roles
Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs including OpenAI or Anthropic
Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks including LangChain or LlamaIndex
Experience with application containerization, CI/CD deployments, and Python
Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services
Experience with a vector database or search framework including OpenSearch or Weaviate
Experience developing backend services and building or consuming RESTful APIs
Ability to follow code review practices, document work, and maintain clean and reusable code
Ability to obtain a Secret clearance
Bachelor’s degree

Nice To Haves

Experience with AI-assisted development such as Cursor, Cline, Windsurf, or Claude Code
Experience with AI agent frameworks including LangChain or LlamaIndex
Experience with open-source AI projects like Ollama or personal projects involving generative AI
Experience with Git, CI/CD workflows, or containerization tools like Docker
Bachelor's degree in Computer Science or Engineering preferred; Master's degree in Computer Science or Engineering a plus

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with senior architects, platform leads, and business stakeholders to deliver world-class solutions.
Define ML strategy for Global Defense.