Principal, AI Security Engineer

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal, AI Security Engineer Job Description Summary 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. You will lead the design of scalable security architectures, drive innovation in AI security capabilities, influence organizational security standards, and provide expert guidance on securing AI systems across the enterprise. This role requires deep expertise in AI technologies, emerging threat landscapes, secure system design, and risk management, coupled with the ability to shape long-term security direction and mentor senior technical practitioners.

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. Provide technical leadership and governance for the secure implementation of AI solutions across multiple business units and technology domains. Evaluate emerging AI technologies and architectures to identify security risks and establish appropriate mitigation strategies. Vulnerability Assessment Define and champion enterprise methodologies, tooling strategies, and assessment frameworks for evaluating AI systems against evolving threats, adversarial attacks, and model exploitation techniques. 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. Secure AI Development Establish enterprise security requirements and best practices for the AI development lifecycle, including data handling, model development, validation, deployment, monitoring, and retirement. Partner with engineering, data science, product, and security teams to embed security-by-design principles into AI initiatives. Provide technical oversight and guidance on the security evaluation of AI technologies, platforms, and business use cases. Compliance and Standards Influence and contribute to the development of internal security standards, control frameworks, and governance models for AI security. Monitor evolving regulatory requirements, industry frameworks, and emerging guidance from organizations such as NIST, ISO, OWASP, MITRE, and global regulatory bodies. Represent the organization in external industry forums, working groups, and strategic engagements related to AI security and emerging technology risk. Research and Innovation Serve as a thought leader in AI security by researching emerging threats, attack techniques, and defensive capabilities. Drive innovation through the development of new security methodologies, architectures, and technologies to protect AI systems and data. Translate emerging research and industry trends into actionable security strategies and roadmap recommendations. Documentation and Reporting Develop and maintain enterprise-level security guidance, technical standards, architecture patterns, assessment methodologies, and executive-facing security recommendations. Present findings, risk assessments, strategic recommendations, and investment priorities to senior leadership and security governance bodies. Author technical whitepapers, architectural