Apple's US Decision Intelligence team is seeking an AI & Data Security Engineer to secure data throughout the AI lifecycle. This role focuses on implementing security measures for AI applications and ensuring compliance with data governance policies. The engineer will collaborate with various teams to align AI data usage with regulatory requirements. A strong emphasis is placed on proactive vulnerability identification and the development of security standards.

• 8+ years of professional experience in data security, cybersecurity, security architecture, or data engineering with a primary focus on security.
• Proven hands-on experience designing and implementing Role-Based Access Control (RBAC), row-level, and column-level security policies in modern cloud data platforms.
• Strong expertise in API security controls, authentication, and authorization protocols.
• Proficiency in Python, Java, Go, or similar languages used for scripting and automation.
• Solid understanding of data privacy regulations and experience translating these into technical data governance.
• Experience implementing security logging, audit trails, and monitoring solutions.
• Direct experience securing AI/ML lifecycles and autonomous AI agents.
• Experience leading or participating in red team exercises or penetration testing.
• Demonstrated ability to partner effectively with non-technical stakeholders.
• Experience building or deploying anomaly detection systems.
• Strong technical writing skills with a track record of creating developer guidelines.
• Master's degree in a relevant field or industry recognized security certifications.

• Secure data across the full AI lifecycle from classification to model deployment.
• Design and enforce row-level security policies and API-driven access controls.
• Collaborate with Data Governance, Legal, and Engineering teams to align AI data usage with enterprise policies.
• Lead red team exercises to identify vulnerabilities in AI systems.
• Develop security standards and guidelines for building AI applications securely.
• Implement security logging and monitoring solutions to detect unauthorized access.
• Translate data privacy regulations into technical data governance and access controls.
• Create developer guidelines and best practices for secure engineering.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.