Agentic AI Engineer

Booz Allen Hamilton•Annapolis Junction, MD

23h•$77,600 - $176,000•Remote

About The Position

Agentic AI Engineer The Opportunity: You know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a high-visibility Booz Allen product designed to support network analysts. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with software developers, analysts, and leaders to deliver world-class solutions to break new ground in agentic AI. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for national security Join us. The world can’t wait.

Requirements

1+ years of experience within Machine Learning Engineering and Data Science
Experience developing applications using Large Language Models (LLMs)
Experience with Python
Knowledge of NNs, LSTMs, regression, tree-based models, and SVMs
Knowledge of agent planning, reasoning, and execution loops
Knowledge of context window management methods
Ability to work in a fast-paced environment in a self-directed way
Ability to obtain a TS/SCI clearance
Bachelor's degree in an AI field

Nice To Haves

Experience with Go
Knowledge of vector databases, RAG, and other forms of semantic search
Experience with software design patterns
Experience with model evaluation and AI quality metrics
TS/SCI clearance

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with software developers, analysts, and leaders to deliver world-class solutions to break new ground in agentic AI.
Help clients navigate the landscape of ML algorithms, tools, and frameworks.
Solve real-world challenges and define ML strategy for national security.