Agentic AI Machine Learning Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Washington, DC · McLean, VA · Arlington, VA · Alexandria, VA · Annapolis Junction, MD
Salary: $99,000–$225,000 / yr
Posted: 2 days ago
Closes: Sep 1, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k

This role $162k

$81k most similar roles pay here $271k

This role pays less than 79% of similar roles. Most pay $173,525–$246,150 — the shaded band above. At the midpoint, this role pays about $162k versus about $210k for comparable roles.

Based on 239 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 375 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 368 roles with salary data.

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At a glance

TL;DR · Agentic AI Machine Learning Engineer

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We are seeking a senior Machine Learning Engineer to join our cutting-edge team focused on developing and deploying large-scale machine learning solutions, including advanced language models and intelligent automation frameworks. In this role, you will work closely with data scientists to train and deploy multi-modal ML models in cloud environments like AWS or Azure, leveraging tools such as Docker and Kubernetes for seamless integration. Key responsibilities include building robust production-grade systems using technologies like LangChain, LangGraph, PydanticAI, and llamaindex, while continuously optimizing model performance and scalability. Ideal candidates have a strong background in deep learning, reinforcement learning, and experience with LLMs, along with a bachelor’s degree or higher.

Skills

AWS Azure Docker Kubernetes Python LLMs Deep Learning Reinforcement Learning LangChain LangGraph PydanticAI llamaindex CI/CD

What you'll do

Design and implement production-grade machine learning solutions, including those involving LLMs.
Train and deploy ML models across various data modalities in cloud environments like AWS or Azure.
Integrate and maintain ML models using Docker and Kubernetes for scalable deployment.
Develop AI agents and frameworks utilizing tools such as LangChain, PydanticAI, and llamaindex.
Continuously improve automation frameworks to enhance efficiency and effectiveness of ML solutions.

What we're looking for

3+ years of experience as a ML engineer with production-grade solutions.
Experience in cloud environments like AWS or Azure and deploying ML models.
Proficiency in LLMs, DL, RL, and tools such as LangChain, PydanticAI.
Bachelor’s degree required; master's degree preferred.
Secret clearance advantageous for certain roles.

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