AI and ML Security Engineer, Senior

Booz Allen Hamilton•Fort Meade, MD

1d•$99,000 - $225,000

About The Position

As an experienced engineer, 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 intelligence analysis. As a machine learning engineer on our AI team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a talented team of machine learning engineers across the company and collaborate with network analysts to deliver world class solutions to conduct red team evaluations of machine learning systems, including LLMs, and use intelligence analysis to evaluate exploitation risks and operational impacts. Your skills and extensive technical expertise will guide clients as they 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

Experience with Python for building automated red-team tests or evaluations
Experience with Linux and containerized environments, such as Docker or Docker Compose, to operate model‑testing or red‑team tooling
Experience with red‑team methodologies, including stress‑testing, structured prompts, failure‑mode discovery, vulnerability identification, or behavior scoring
Experience with AI or ML evaluation or security testing
Ability to analyze ML or LLM outputs, identify misbehavior or data leakage patterns, and document findings clearly
Ability to synthesize technical evidence with intelligence context and communicate risk to both technical and non‑technical audiences
TS/SCI clearance with a polygraph
Bachelor's degree and 3+ years of experience with AI or ML, or 6+ years of experience with AI or ML in lieu of a degree

Nice To Haves

Experience with red‑teaming LLM systems
Experience applying AI or ML red‑team results to operational intelligence workflows, including TTP mapping, adversary‑capability analysis, or mission COA development
Knowledge of enterprise AI Security offerings and tooling ecosystem used to probe ML and LLM systems
Knowledge of data‑fusion, anomaly‑detection, or analytic‑augmentation methods used in modern intelligence environments

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with network analysts to deliver world-class solutions.
Conduct red team evaluations of machine learning systems, including LLMs.
Use intelligence analysis to evaluate exploitation risks and operational impacts.
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Solve real-world challenges and define ML strategy for national security.