Mastercard
Principal, AI Security Engineer
O'Fallon, Missouri · Principal · Part-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card intent detected
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- As a Principal Information Security Engineer specializing in AI Security, you will serve as a recognized technical authority responsible for defining and advancing the enterprise AI security strategy.
Responsibilities
- Security Architecture Design
- Define and lead the enterprise AI security architecture strategy, establishing security frameworks, reference architectures, secure design patterns, and engineering standards for AI systems and platforms.
- Lead complex security assessments, red team exercises, and penetration testing initiatives focused on AI models, AI agents, LLM applications, and supporting infrastructure.
- Drive remediation strategies and risk reduction initiatives across large-scale AI deployments.
- Partner with engineering, data science, product, and security teams to embed security-by-design principles into AI initiatives.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Security, Artificial Intelligence, or a related field.
- Extensive experience in information security, including significant experience leading AI security, application security, or security architecture initiatives at enterprise scale.
- Experience presenting technical concepts, risk assessments, and strategic recommendations to senior executives and technical leadership.
- Deep expertise in AI technologies, machine learning systems, large language models, AI agents, data protection, and secure software engineering practices.
- Demonstrated success in defining security strategy, security architectures, and governance frameworks for complex technology environments.
- Strong knowledge of AI security threat modeling, adversarial machine learning, model security, data security, secure deployment architectures, and cloud security.
- Proven ability to influence technical direction and drive adoption of security standards across diverse engineering organizations.
- Exceptional analytical, problem-solving, communication, and stakeholder management skills.
- Relevant certifications such as CISSP, CCSP, OSCP, GIAC certifications, AI Security certifications, or equivalent are highly desirable.
- Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
- Corporate Security Responsibility
- All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices
Nice to have
- Demonstrated leadership in industry forums, research publications, open-source contributions, standards development, or other thought leadership activities is preferred.
Compensation
- In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi
Benefits
- Establish enterprise security requirements and best practices for the AI development lifecycle, including data handling, model development, validation, deployment, monitoring, and retirement.
This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.