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.
CompensationAt 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 $225,000.00 (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. This posting will close within 90 days from the Posting Date.
Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on
your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited
unless permission is explicitly provided.
Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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