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Role Overview:
- Focus on securing AI-powered systems with emphasis on LLMs and machine learning pipelines.
- Design and implement security controls to protect against prompt injection, model abuse, and data exfiltration.
- Position sits at the intersection of cybersecurity and machine learning.
Key Accountabilities:
- Develop threat models and deploy guardrails, filtering, and policy enforcement for AI model endpoints.
- Secure ML pipelines, design protections for sensitive data, and lead AI-focused red teaming exercises.
- Collaborate with engineering, privacy, and compliance teams to ensure secure AI deployment.
Requirements:
- Bachelor's or Master's in CS, Cybersecurity, or related field; 6+ years security engineering with AI/ML exposure.
- Strong understanding of LLMs, adversarial ML concepts, and cloud security.
- Proficiency in Python and at least one systems language; experience with identity, authorization, and incident response.
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