Overview

 Senior AI Security Engineer – Woodland Hills, 91367, United States of America 

How you’ll LEAD:

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.

#LI-remote

 

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