Booz Allen
AIandMLSecurityEngineer,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“AI and ML Security Engineer, Senior at Booz Allen. Skills: AI, ML, Security, Red teaming. Train models. Test models”
Industry & Context.
Problem-solve; Troubleshooting
TS/SCI clearance with polygraph
What They're Looking For.
Must Have
3+ years of experience with AI or ML, 6+ years of experience with AI or ML, Python for building automated red-team tests, Linux and containerized environments, Docker or Docker Compose, Red-team methodologies, Analyze ML or LLM outputs, Synthesize technical evidence, Communicate risk, TS/SCI clearance with polygraph, Bachelor's degree
Nice to Have
Experience with red-teaming LLM systems, AI or ML evaluation or security testing, AI or ML red-team results to operational intelligence workflows, Knowledge of enterprise AI Security offerings, Knowledge of data-fusion methods, Knowledge of anomaly-detection methods, Knowledge of analytic-augmentation methods
What You'll Do.
Define direction of solutions
Apply ML technologies
Conduct red team evaluations
Evaluate exploitation risks
Evaluate operational impacts
Identify misbehavior patterns
Identify data leakage patterns
How You'll Work.
Team & Collaboration
Talented team of machine learning engineers; Collaborate with network analysts
Communication Scope
Communicate risk
Full Job Description
AI and ML Security Engineer, Senior **The Opportunity:** 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. **You Have:** * 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 * 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+
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