Senior AI Security Engineer II
On-siteNew York, United States
Job Summary
Design and implement a multi-layer AI security framework spanning data classification, detection and response, exfiltration prevention, governance, adversarial testing, and agentic identity management. Evaluate, deploy, and operate AI-specific security tooling, then integrate these controls into CI/CD pipelines and engineering workflows. Architect secure Model Context Protocol server deployments and define agent-to-agent authentication standards for agentic AI workflows. Lead red-teaming and adversarial testing of AI systems, specifically targeting privilege escalation, tool misuse, and unintended data access patterns. Define and enforce PHI/PII handling controls for all AI systems while partnering with Engineering, Infrastructure, and Product Security teams to ensure secure deployment.
Required Qualifications
- 7+ years of experience in Security Engineering with a sound understanding of the Software Engineering process
- Hands-on experience with adversarial AI techniques including prompt injection, model extraction, data poisoning, and evasion attacks
- Understanding of AI security frameworks: NIST AI RMF, ISO 42001
- GitHub and Python skills for security tooling, evaluation harnesses, and automated testing of AI systems
- Demonstrated experience with Enterprise AI platforms such as Claude Enterprise, OpenAI Enterprise, Cursor, etc.
- Excellent written and verbal communication skills
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