Level

Mastercard

Senior Information Security Engineer

Mastercard is hiring a Senior Information Security Engineer. Level rates it ; you can apply on Level.

AI in this role

ai-evaluationai-safety

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

Senior Information Security Engineer

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.

Overview
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.

Key Responsibilities:
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 control uplift where required.
• Provide operational evidence and reporting to support audits, risk assessments, and governance forums.

Documentation, Reporting & Metrics
• Develop and maintain standard operating procedures (SOPs), playbooks, and runbooks for AI security operations, testing, and incident response.
• Produce clear security reports summarizing AI security posture, assessment outcomes, and remediation progress.
• Contribute to AI security KPIs and KRIs to demonstrate operational effectiveness and risk reduction.

Advisory, Training & Enablement
• Act as a trusted advisor on AI security operations and tooling, providing guidance on secure implementation and ongoing monitoring.
• Provide technical training and knowledge sharing on AI threats, red teaming techniques, guardrails, and model evaluation practices.
• Support internal communities of practice focused on AI security and responsible AI adoption.

Research, Experimentation & Continuous Improvement
• Stay current on emerging AI threats, attack techniques, and defensive controls.
• Design and execute proofs of concept (POCs) to evaluate new AI security tools, detection techniques, and operational workflows.
• Continuously improve AI security operations through automation, tooling integration, and process refinement.

All about you
• Bachelor’s or master’s degree in computer science, Information Security, Engineering, or a related technical discipline.
•Strong experience in information security engineering or operations, with hands on exposure to AI/ML systems and associated security risks.
• Practical experience working with or evaluating AI security tools, such as red team testing, guardrails, model evaluation, or AI SPM platforms.
• Proven experience implementing defensive controls to mitigate OWASP Top 10 for LLM applications.
• Proven ability to assess, test, and operationalize security controls for complex, distributed systems.
• Strong analytical and problem solving skills, with the ability to interpret tool output and translate findings into remediation actions.
• Excellent technical communication and collaboration skills to work effectively across engineering, data, and risk teams.
• Relevant certifications such as CISSP, GIAC, CEH, OSCP, or cloud security certifications are highly desirable.

This role aligns to the NICE Cybersecurity Workforce Framework, with primary alignment to Security Control Assessment, Secure Systems Development, Cybersecurity Architecture, Systems Security Management, and Incident Response work roles.

Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:

• Abide by Mastercard’s security policies and practices.
• Ensure the confidentiality and integrity of the information being accessed.
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/10/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

O'Fallon, Missouri: $115,000 - $184,000 USD

How we rate this

Senior Information Security Engineer at Mastercard rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationAI Safety

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$160k

This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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