Agentic AI Engineer

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Annapolis Junction, MD
Salary: $77,600–$176,000 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Closes: Oct 12, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $127k

$57k most similar roles pay here $266k

This role pays less than 93% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $127k versus about $204k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Agentic AI Engineer

Role Posting Log in to save

As an Agentic AI Engineer on the national security team, you will train, test, deploy, and maintain machine learning models that learn from data to support network analysts. You will contribute to mission-critical solutions by applying best-fit algorithms and collaborating with software developers and analysts to advance agentic AI capabilities. The role requires developing applications using Large Language Models and proficiency in Python. Technical requirements include knowledge of neural networks, LSTMs, regression, tree-based models, SVMs, and context window management methods. You will also apply expertise in agent planning, reasoning, and execution loops. Preferred skills include experience with Go, software design patterns, model evaluation metrics, and semantic search techniques such as vector databases and RAG. This role focuses on solving real-world challenges and defining machine learning strategies within the national security domain.

Skills

LLMs Python LSTMs Regression Tree-based Models SVMs Agent Planning Context Window Management Go Software Design Patterns Model Evaluation Vector Databases RAG Machine Learning Data Science

What you'll do

Train, test, deploy, and maintain machine learning models that learn from data.
Apply best-fit ML algorithms and technologies to develop mission-critical solutions.
Develop applications specifically utilizing Large Language Models (LLMs).
Implement agent planning, reasoning, and execution loops for agentic AI systems.
Manage context window methods and implement semantic search using vector databases and RAG.
Conduct statistical analyses on business processes using machine learning techniques.
Define ML strategy to solve real-world challenges in the national security sector.

What we're looking for

Bachelor's degree in an AI field.
1+ years of experience in Machine Learning Engineering and Data Science.
Experience developing applications using Large Language Models (LLMs).
Proficiency in Python programming.
Knowledge of NNs, LSTMs, regression, tree-based models, and SVMs.
Knowledge of agent planning, reasoning, execution loops, and context window management.
Ability to obtain a TS/SCI clearance.
Experience with Go, software design patterns, model evaluation, vector databases, and RAG.

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