Staff Security Engineer - AI Security & Platforms
$205,000–$256,000 year
On-siteReno, Nevada, United States
Job Summary
Architect secure-by-default AI platforms and guardrails that enable safe AI adoption at scale, mitigating risks like prompt injection, data leakage, and trust-boundary violations across agentic systems. Lead threat modeling for new AI features and infrastructure, partnering with engineering teams to embed security into development workflows and enforce standards for responsible AI use. Build AI-augmented security tooling and pipelines to extend team capacity while validating AI output for correctness and risk. Mentor engineers on secure AI practices and establish organizational standards for model and vendor evaluation.
Required Qualifications
- You must be work authorized in the United States without the need for employer sponsorship.
- 8+ years in application security, cloud security, or security-focused software engineering, including leading complex cross-functional initiatives.
- Demonstrated depth in at least one of: secure code review and product security; cloud and infrastructure security (AWS, IAM, guardrails, policy-as-code); or building production software with a strong security focus.
- Advanced proficiency in at least one high-level language (Python strongly preferred; Kotlin or TypeScript a plus).
- Hands-on, daily use of AI/LLM tooling, the ability to engineer systems that use it, and the judgment to validate AI output for correctness and risk.
- Applied experience securing or building AI/LLM-powered systems, or a clear track record of getting deep in a new technical domain quickly.
- Sound architectural judgment, a habit of driving findings to systemic remediation, and honest risk calibration.
- Strong written and verbal communication, with the ability to explain security tradeoffs clearly to engineers, product partners, and leadership.
Desired Qualifications
- Bonus: Hands-on experience with prompt-injection prevention, LLM input/output sanitization, or agent / tool-use / MCP security.
- Experience building developer platforms or security guardrail frameworks that scale across an organization.
- Contributions to AI security research, open source security tooling, or emerging AI security standards.
- Familiarity with cloud-native security at scale (AWS) and infrastructure-as-code (e.g., Terraform).
- Kotlin or TypeScript a plus.
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