AI and ML Security Engineer, Senior Security Clearance

Position: AI and ML Security Engineer, Senior with Security Clearance
Job Number: R0241145 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+ years of experience with AI or ML in lieu of a degree Nice If You Have:
* Experience with red-teaming LLM systems

* Experience with AI or ML evaluation or security testing

* 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 Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.

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