Senior AI/LLM Security Engineer

Digitailor

Mountain View (CA)

Hybrid

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

ServiceNow is seeking a senior security engineer to lead the design and testing of safeguards for AI/LLM features. You will map ML usage, perform adversarial assessments, and collaborate with ML engineers to implement robust mitigations.

The role emphasizes hands-on security testing, defense design, and measurable safeguards metrics. Ideal candidates bring extensive security engineering experience, deep knowledge of LLM attack surfaces, and strong Python/Go coding skills.

Qualifications

  • 8+ years in security engineering with focus on AI/LLM security.
  • Hands-on adversarial experience such as red teaming or pentesting on LLM systems.
  • Deep knowledge of LLM attacks and defenses (OWASP Top 10 for LLM Apps; MITRE ATLAS).
  • Ability to identify risks, develop mitigation plans, and implement fixes.
  • Strong Python or Go coding skills with production code shipping.
  • Foundational ML concepts to build evals and judge classifier efficacy.

Responsibilities

  • Keep the map of ML usage and safeguards current, and lead security design of new ML features
  • Break safeguards: test jailbreaks, prompt injection/leaks/toxicity, and turn findings into eval cases run on every model
  • Design and build mitigations with ML engineers that hold when detection misses
  • Define security metrics that show 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

Skills

Security engineering
AI security
Red teaming
Vulnerability research
Python/Go
ML fundamentals

Job description

ServiceNow is seeking a senior security engineer to lead the design and testing of safeguards for AI/LLM features. You will map ML usage, perform adversarial assessments, and collaborate with ML engineers to implement robust mitigations.

The role emphasizes hands-on security testing, defense design, and measurable safeguards metrics. Ideal candidates bring extensive security engineering experience, deep knowledge of LLM attack surfaces, and strong Python/Go coding skills.

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