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# Agentic AI Machine Learning Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Machine Learning, Systems Integration, Cloud Platform System, Large Language Models, SC Clearance, Data Analytics, Machine Learning Operations, Virtual Agents, Docker
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/agentic-ai-machine-learning-engineer-arlington-va-usa-58897043

## About the Role

Experteer Overview In this role you will build production-grade AI and ML solutions that address Defense and Intelligence challenges, focusing on scalable, mission-driven systems. You collaborate across teams to deploy AI architectures, expanding capabilities in MLOps and system integration across diverse environments. You will shape data-driven operations, improve accessibility, and deliver robust AI-enabled workflows. This position offers meaningful impact by advancing automated, secure AI in mission-critical settings. Compensation / Benefits * Design, implement, and scale AI/ML systems for mission contexts * Integrate AI/ML solutions into varied environments and ecosystems * Advance MLOps, deployment, and software delivery practices * Evaluate model performance and deploy observation layers for stakeholders * Collaborate with cross-functional teams to align with client needs and architectural tradeoffs * Connect agents to APIs, cloud platforms, or databases Tasks * 3+ years of aaa
systems as a ML engineer * Experience with LLMs, agents, or complex automation frameworks * Experience with cloud environments (AWS or Azure) * Experience deploying ML models using Docker and Kubernetes * Knowledge of LLM, DL, RL; familiarity with LangChain, LangGraph, PydanticAI, llamaindex * Experienceconnecting agents to APIs, cloud platforms, or databases * Ability to obtain a Secret clearance * Bachelor's degree Key requirements * health benefits * life benefits * disability benefits * retirement benefits * paid leave * professional development support

## Description

Experteer Overview In this role you will build production-grade AI and ML solutions that address Defense and Intelligence challenges, focusing on scalable, mission-driven systems. You collaborate across teams to deploy AI architectures, expanding capabilities in MLOps and system integration across diverse environments. You will shape data-driven operations, improve accessibility, and deliver robust AI-enabled workflows. This position offers meaningful impact by advancing automated, secure AI in mission-critical settings. Compensation / Benefits * Design, implement, and scale AI/ML systems for mission contexts * Integrate AI/ML solutions into varied environments and ecosystems * Advance MLOps, deployment, and software delivery practices * Evaluate model performance and deploy observation layers for stakeholders * Collaborate with cross-functional teams to align with client needs and architectural tradeoffs * Connect agents to APIs, cloud platforms, or databases Tasks * 3+ years of experience as a ML engineer * Experience with LLMs, agents, or complex automation frameworks * Experience with cloud environments (AWS or Azure) * Experience deploying ML models using Docker and Kubernetes * Knowledge of LLM, DL, RL; familiarity with LangChain, LangGraph, PydanticAI, llamaindex * Experienceconnecting agents to APIs, cloud platforms, or databases * Ability to obtain a Secret clearance * Bachelor's degree Key requirements * health benefits * life benefits * disability benefits * retirement benefits * paid leave * professional development support


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