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# AI Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, DevOps, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Search Technologies, Secure Coding, Software Engineering, Software Systems, Systems Integration, Trusted Systems, Pytorch, Large Language Models, Api Design, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://careers.boozallen.com/jobs/JobDetail?jobId=129825

## About the Role

* 5+ years of experience with Python and common frameworks such as TensorFlow or PyTorch
 * Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows
 * Experience designing and implementing agentic workflows to enable structured task execution and measurable outcomes
 * Experience with cloud platforms such as AWS, including compute, storage, and data pipelines
 * Experience with software engineering, including building APIs, integrating AI components into applications, and applying secure development practices
 * Knowledge of embedding models, vector databases, and semantic search
 * Ability to collaborate with cross-functional teams and communicate technical AI/ML concepts clearly to stakeholders
 * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
 * Bachelor's degree

Nice If You Have:

 * Experience working with LangChain and LangGraph

## Description

The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development through modern engineering practices. In addition to core engineering responsibilities, this role blends applied machine learning, software engineering, and AI-assisted SDLC techniques to deliver high-quality, reliable, and secure systems. The engineer applies advanced consulting skills and deep technical expertise to develop innovative, scalable solutions for complex challenges, operates with a high degree of independence, and mentors team members to elevate overall engineering capability. Due to the nature of work performed within this facility, U.S. citizenship is required.


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