Senior AI Security Engineer: Guardrails & Secure Models

Mastercard; Celbridge; On-site; EUR 120,000 - 180,000; Full time

Job summary

Mastercard seeks a Lead AI Security Engineer to lead a strategic AI engineering team focused on foundation model development and AI use case delivery. You will implement security controls, test for vulnerabilities, and translate governance guidance into working security solutions.

This execution-focused role requires hands-on capability to build guardrails, access controls, and secure data usage, while collaborating with central security, AI governance, and engineering teams to deliver secure,

Qualifications

• Hands-on experience testing ML/AI models for security vulnerabilities.
• Adversarial robustness testing and related red-teaming techniques.
• Strong applied security engineering, building real controls.
• Experience implementing bias/fairness testing or mitigation.
• Knowledge of embedding/foundation model security risks.
• Experience with access control and audit logging across distributed environments.
• Familiarity with PCI-DSS and data protection regulations.
• Software engineering fundamentals; production-grade tooling.
• Clear communicator, able to work with engineers and governance teams.
• Cloud familiarity (AWS preferred; Azure/GCP valuable) with Databricks.

Responsibilities

• Implement technical recommendations from security and governance teams.
• Test models for security vulnerabilities directly.
• Build guardrails and mitigations from testing and governance feedback.
• Advise secure design choices during development.
• Support incident response for security findings and remediation.
• Stay current on emerging model vulnerability research and testing.
• Collaborate with central security, privacy, and governance teams.
• Provide concrete evidence and test results for governance reviews.

Skills

ML Security Testing

Adversarial Testing

Security Engineering

Bias/Fairness Testing

Embeddings Security

Access Control

Audit Logging

Regulatory Knowledge

Communication

Cloud Platforms

Tools

Databricks

AWS

Azure

GCP

Job description

Mastercard seeks a Lead AI Security Engineer to lead a strategic AI engineering team focused on foundation model development and AI use case delivery. You will implement security controls, test for vulnerabilities, and translate governance guidance into working security solutions.

This execution-focused role requires hands-on capability to build guardrails, access controls, and secure data usage, while collaborating with central security, AI governance, and engineering teams to deliver secure,