Senior AI Security Engineer

MastercardO'fallon, MO
3d

About The Position

As an Information Security Engineer specializing in AI Security and Data Science, you will be at the forefront of protecting our AI systems and the underlying data that powers them. Your role will combine deep technical expertise in security engineering with strong data science capabilities to analyze, interpret, and secure complex datasets used in AI models. You will design and implement advanced security measures to safeguard AI infrastructure and ensure the integrity, confidentiality, and availability of AI-driven solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Security, Data Science, or related field.
  • Relevant experience in information security with a strong focus on AI systems and data protection.
  • Proficiency in data science tools and languages (Python, R, SQL) and experience with machine learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of statistical modeling, data visualization, and anomaly detection techniques.
  • Expertise in designing and implementing security measures for AI systems, including encryption, access controls, and secure coding desired.
  • Excellent analytical and problem-solving skills with ability to interpret complex datasets for security insights.

Nice To Haves

  • Relevant certifications such as CISSP, CEH, OSCP, or data science certifications are highly desirable.

Responsibilities

  • Security Architecture Design: Architect and implement robust security frameworks for AI systems, including secure coding practices and design principles.
  • Data Analysis & Risk Modeling: Apply data science techniques to analyze AI system data, identify patterns, and assess potential security risks. Develop predictive models to anticipate vulnerabilities and threats.
  • Vulnerability Assessment: Implement and manage tooling for penetration testing on AI models and systems, leveraging statistical and data-driven approaches to prioritize remediation.
  • Secure AI Development: Collaborate with data scientists and software engineers to integrate security best practices into the AI development lifecycle, including secure model training, validation, and deployment.
  • Data Governance & Privacy: Ensure compliance with data protection standards (GDPR, NIST, ISO) and implement privacy-preserving techniques such as differential privacy and federated learning.
  • Research and Innovation: Stay abreast of advancements in AI security and data science, conduct research, and contribute to innovative security solutions.
  • Documentation and Reporting: Prepare detailed reports and dashboards using data visualization tools to communicate security posture and risk insights.
  • Advisory and Support: Provide guidance on secure data handling and AI security best practices to cross-functional teams.
  • Technical Training and Mentorship: Mentor team members on AI security principles and data science methodologies.
  • Experimentation and POCs: Design and execute experiments and proof-of-concepts to validate emerging threats and security solutions using data-driven approaches.

Benefits

  • 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.
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