Lead, 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 Lead, AI Security Engineer Job Description Summary As a Lead Information Security Engineer specializing in AI Security, you will help design, implement, and improve security practices for AI systems, applications, and platforms. You will work with engineering, data science, product, and security teams to assess AI-related risks, support secure design decisions, validate controls, and help embed security into AI development and deployment activities. This role requires strong technical knowledge of AI technologies, application security, secure system design, and risk management, along with the ability to coordinate work across teams and provide practical guidance to engineers and stakeholders.

Security Architecture Design Support the design and implementation of secure AI architectures, reference patterns, secure design guidance, and engineering practices for AI systems and platforms. Partner with security architects, engineering teams, and product teams to apply AI security requirements consistently across assigned initiatives. Evaluate AI technologies and architectures to identify security risks and recommend appropriate mitigation approaches. Vulnerability Assessment Apply established methodologies, tools, and assessment practices to evaluate AI systems against emerging threats, adversarial techniques, and model exploitation risks. Lead or support security assessments, red team activities, and penetration testing efforts focused on AI models, AI agents, LLM applications, and supporting infrastructure. Work with application and platform teams to document findings, prioritize remediation, and track risk reduction activities through closure. Secure AI Development Help define and apply security requirements and best practices across the AI development lifecycle, including data handling, model development, validation, deployment, monitoring, and retirement. Partner with engineering, data science, product, and security teams to incorporate security-by-design principles into AI initiatives. Provide technical guidance on the security evaluation of AI technologies, platforms, and business use cases within assigned areas of responsibility. Compliance and Standards Contribute to internal security standards, control guidance, and governance processes for AI security. Stay current on regulatory requirements, industry frameworks, and emerging guidance from organizations such as NIST, ISO, OWASP, MITRE, and global regulatory bodies. Support internal alignment with AI security standards and assist teams in understanding applicable control expectations. Research and Innovation Research emerging AI security threats, attack techniques, and defensive capabilities to inform team practices and assigned security initiatives. Contribute to the development and improvement of security methods, patterns, and tooling used to protect AI systems and data. Translate relevant research and industry trends into practical recommendations for engineering and security teams. Documentation and Reporting Develop and maintain technical guidance, assessment notes, architecture recommendations, control mappings, and operational documentation for AI security activities. Prepare clear findings, risk summaries, remediation recommendations, and status updates for technical teams, managers, and security stakeholders. Author practical implementation guidance, playbooks, and technical documentation that support consistent AI