- Lead security assessments of AI/ML models, data pipelines, and AI-enabled applications, identifying vulnerabilities such as prompt injection, model inversion, data poisoning, and adversarial inputs.
- Partner with Data & Analytics and Engineering to embed security requirements and threat modeling into the AI development lifecycle.
- Build and maintain guardrails, monitoring, and detection controls for AI systems in production.
- Conduct security reviews of third-party AI tools, APIs, and vendors before integration.
- Lead incident response for AI-related security events, including investigating suspicious model outputs.
- Design and advise on standards for the secure, responsible use of AI, including data handling practices.
- Test and validate access controls, encryption, and data segmentation for AI systems.
- Use AI tools to accelerate security testing, code review, and threat research.
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