Agentic AI Machine Learning Engineer

Booz Allen Hamilton•McLean, DC

14d•$99,000 - $225,000

About The Position

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good sof tware is more than just a good user experience . To compete in today’s technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We’re looking for an engineer like you to create artifi cia l intelligence ( AI ) and machine learning ( ML ) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you’ll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you’ll deepen your skill set in areas like sof tware engineering, machine learning operations ( MLOps ) , and sof tware deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with sof tware systems to aid data accessibility and AI and ML operationalization? Join us. The world can’t wait.

Requirements

3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving 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 Large Language Models (LLM), Deep Learning ( DL ) , and Reinforcement Learning ( RL ) , and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
Experience in connecting Agents to APIs, Cloud platforms, or databases
Experience evaluating architectural tradeoffs and designing robust service-based sof tware applications for scalable use
Experience with MLOps, GitOps, and CI / CD tooling
TS / SCI clearance
Bachelor’s degree

Nice To Haves

Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
Experience with client e nga gements, client-facing project work, and business development
Experience with project work in deep learning, computer vision, NLP, or signal processing
Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
Ability to adapt in a rapidly changing environment
Possession of excellent verbal and written communication skills
Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
TS/SCI clearance with a polygraph
Master's degree