Security Engineer – AI Security Operations

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 Security Engineer – AI Security Operations Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

As an Information Security Engineer – AI Security Operations, you will be at the forefront of protecting the organization’s AI platforms, models, and data in active use. This role focuses on the operational security of AI systems, including continuous assessment, monitoring, testing, and response using specialized AI security tools such as AI red teaming, guardrails, model evaluation platforms, and AI Security Posture Management (AI SPM) capabilities. You will apply deep technical expertise to identify, assess, and mitigate AI specific threats and vulnerabilities across the AI lifecycle. Working closely with AI engineering, data science, platform, and risk teams, you will help ensure the robustness, confidentiality, integrity, availability, and trustworthiness of AI enabled solutions.

AI Security Operations & Tooling • Operate and continuously improve AI security tooling, including: o AI red team testing tools to simulate adversarial attacks against models and AI workflows o AI guardrails and policy enforcement mechanisms to prevent misuse, data leakage, and unsafe outputs o Model evaluation and validation platforms to assess robustness, bias, misuse risk, and control effectiveness o AI Security Posture Management (AI SPM) solutions to inventory AI assets, assess risk, and monitor control coverag • Analyze findings from AI security tools and translate results into actionable remediation and risk reduction activities. • Integrate AI security tooling into broader security operations workflows, including monitoring, alerting, and incident response. Security Architecture & Control Design • Support the design and operationalization of security architectures for AI systems, including secure model deployment patterns, data protections, and access controls. • Author and maintain secure design principles and operational security requirements for AI platforms and services. • Ensure AI security controls are measurable, testable, and enforceable in production environments. Secure AI Lifecycle Enablement • Collaborate with data scientists, ML engineers, and software engineers to embed security controls and guardrails throughout the AI development and deployment lifecycle. • Support security reviews and approvals for AI systems transitioning from experimentation to production. • Ensure AI systems meet operational security requirements before and after deployment. Governance, Standards & Compliance • Support implementation of AI security policies, standards, and control frameworks, aligned with NIST, ISO, and emerging AI specific guidance. • Track regulatory, legal, and industry developments related to AI security and contribute to