Senior Artificial Intelligence Security Engineer

Posted 47ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Senior AI Security Engineer leading enterprise AI Security program at Universal Music Group. Defining policies, standards, and best practices for AI security across the organization.

Responsibilities:

  • 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.

Requirements:

  • 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
  • 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

Benefits:

  • Comprehensive medical, dental, and vision coverage
  • Including 100% coverage for out-patient in-network mental health services
  • Fertility coverage for eligible medical plan participants
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution
  • A variety of ways to prioritize much-needed time away from work including: Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non-exempt employees
  • 2-weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent