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Booz Allen Hamilton · 10 hours ago

Agentic AI Machine Learning Engineer

Arlington, VA

Full-time

Hybrid

Mid Level

$99K/yr - $225K/yr

3+ years exp

Booz Allen Hamilton is looking for an experienced Agentic AI Machine Learning Engineer to create AI and machine learning solutions for the Defense and Intelligence sectors. The role involves designing and implementing AI systems to improve client operations and data accessibility.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems

Ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements

Deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments

Qualification

Machine Learning EngineeringLarge Language ModelsCloud EnvironmentsMLOpsDeep LearningDockerKubernetesData ScienceCommunication SkillsProblem-Solving SkillsInterpersonal SkillsOrganizational Skills

Required

3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks

3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data

3+ years of experience working in cloud environments, including AWS and Azure

2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes

Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex

Experience connecting Agents to APIs, Cloud platforms, or databases

Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use

Experience with MLOps, GitOps, and CI/CD tooling

Secret clearance

Bachelor's degree