We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. The Digital Threat Management (DTM) team is looking for a Sr. AI Security Engineer to lead the establishment, maturation, and oversight of a unified framework for AI security. This role will directly influence enterprise strategy, regulatory exam readiness, risk reduction, and overall data trust. In addition, you will establish, lead, and execute multi-year roadmaps to AI security, drawing upon cross-functional partnerships to deliver AI security posture reviews on a repeatable basis and review new uses of AI as systems are developed. In addition, you will execute multi-year roadmaps to data security, drawing upon cross-functional partnerships to deliver data security posture reviews on a repeatable basis and review new data systems as they're developed. How you’ll CREATE: Lead the enterprise AI Security program, defining policies, standards, and best practices. Adopt and operationalize tools that provide visibility and control over AI access and behaviors. Defend against prompt injection, jailbreaking, and indirect prompt injection. Advise on methods to filter and guardrail models to prevent the generation of toxic or restricted content. Implement methods to reduce the risk of data loss through AI. Introduce AI security control points into the CI/CD pipeline, including securing internal codebases and the use of third-party dependencies. Assist in the formation of the AI Center of Excellence. Assess, build, configure and deploy solutions to detect and react to anomalous model behavior. Provide insight into how best to position security operations to detect and respond to AI-specific breaches. Contribute to general security architecture and engineering duties undertaken by DTM team. Oversee data quality, metadata management, and issue remediation functions to improve data integrity and trust. Lead enterprise-wide risk assessments relating to data management, protection, and quality. Provide strategic leadership on data-driven transformation initiatives, ensuring governance is built into system modernization, cloud adoption, and digital initiatives. Bring your VIBE: AI/ML Frameworks and Services: Such as LangChain, PyTorch, and AWS Bedrock / SageMaker, Google Vertex AI AI Security Frameworks and Related: NIST AI RMF, MITRE ATLAS, Google SAIF, OWASP Top 10 for LLM Applications Security Tools: DSPM, SAST, SCA, DAST, SSPM, NHI Security, etc. Development: Python, and general AI development work Cloud Security: AWS, GCP 5+ years of experience in Cyber Security; Strong command of security and security architecture concepts. Deep understanding of AI and relevance to security. Relevant certifications a plus.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed