Staff Security Engineer, AI Safeguards

ServiceNow • Mountain View, CA

1d

About The Position

The Staff Security Engineer, AI Safeguards will help secure AI and machine learning features across Moveworks products. The role keeps the map of ML usage and safeguards current and leads security design for new ML features. It tests safeguards against jailbreaks, prompt injection, prompt leaks, and toxicity, then turns findings into evaluation cases that run whenever models, prompts, or safeguards change. The engineer partners with ML engineers to build mitigations that remain effective when detection misses, defines and reports security metrics, reviews changes that could weaken safeguards, and tracks AI attack research to develop new tests and mitigations.

Requirements

• Typically 8 or more years of experience in security engineering, including 2 or more years focused on AI or LLM security.
• Hands-on adversarial experience, such as red teaming, penetration testing, or vulnerability research, applied to LLM systems.
• Deep knowledge of LLM attacks and defenses, such as the OWASP Top 10 for LLM Applications and MITRE ATLAS.
• Ability to identify risks, develop mitigation plans, and implement fixes independently.
• Strong coding skills in Python or Go, with a record of shipping production code rather than only producing findings.
• Sufficient ML fundamentals to build evaluations and judge classifier efficacy.

Responsibilities

• Maintain an up-to-date map of ML usage and safeguards across products.
• Lead security design for new ML features.
• Test safeguards against jailbreaks, prompt injection, prompt leaks, and toxicity, and convert findings into evaluation cases that run on every model, prompt, and safeguard change.
• Design and build mitigations with ML engineers that remain effective when detection misses.
• Define security metrics for safeguard effectiveness and report on them.
• Review changes that could weaken a safeguard.
• Track AI attack research and turn new techniques into tests and mitigations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed