Agentic AI Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Annapolis Junction, MD
Salary: $77,600–$176,000 / yr
Posted: 2 days ago
Closes: Sep 24, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k

This role $127k

$59k most similar roles pay here $255k

This role pays less than 92% of similar roles. Most pay $162,000–$236,125 — the shaded band above. At the midpoint, this role pays about $127k versus about $199k for comparable roles.

Based on 240 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 760 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 748 roles with salary data.

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At a glance

TL;DR · Agentic AI Engineer

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As an Agentic AI Engineer at Booz Allen, you will join a high-visibility national security team to develop mission-critical solutions by training and deploying machine learning models that process vast datasets for network analysts. Your daily tasks include applying advanced ML algorithms such as neural networks, LSTMs, and SVMs, while collaborating with software developers and analysts to deliver innovative agentic AI systems. You will need at least one year of experience in Machine Learning Engineering or Data Science, proficiency in Python, and knowledge of agent planning and execution loops. Familiarity with vector databases, semantic search, and model evaluation metrics is a plus, as is the ability to work independently in a fast-paced environment. This role offers an opportunity to contribute significantly to cutting-edge AI solutions for national security challenges.

Skills

Python Large Language Models (LLMs) Neural Networks (NNs) Long Short-Term Memory networks (LSTMs) Regression Tree-based models Support Vector Machines (SVMs) Agent Planning Reasoning and Execution Loops Context Window Management Vector Databases RAG Semantic Search

What you'll do

Train, test, deploy, and maintain machine learning models for network analysis.
Apply best-fit ML algorithms to support mission-critical solutions in national security.
Collaborate with software developers and analysts to deliver advanced AI solutions.
Navigate the landscape of ML algorithms, tools, and frameworks for clients.
Develop applications using Large Language Models (LLMs) and Python.
Manage context windows and understand agent planning, reasoning, execution loops.

What we're looking for

1+ years of experience in Machine Learning Engineering and Data Science
Proficiency in developing applications using Large Language Models (LLMs)
Expertise in Python, neural networks, LSTMs, regression, tree-based models, and SVMs
Understanding of agent planning, reasoning, execution loops, and context window management
Ability to work independently in a fast-paced environment
Bachelor's degree in an AI-related field required

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