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 asustainableeconomy 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.

Principal, AI Security Engineer Job Description Summary

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 guidance, and strategic security position papers.

• Serve as the highest level technical advisor for AI security initiatives, providing expert consultation on architecture, risk management, technology evaluations, and strategic investments.
• Influence security decisions across programs and platforms by providing authoritative guidance on AI security risks and mitigations.
• Partner with senior leaders to align AI security initiatives with enterprise risk management objectives.

• Provide technical leadership and mentorship to security engineers, architects, and engineering teams.
• Foster the development of AI security expertise across the organization through knowledge sharing, training, and leadership of technical communities of practice.
• Establish technical direction and promote engineering excellence in AI security disciplines.

• Lead…