Senior Security Engineer - AI Security & Platforms
$164,000–$205,000 year
On-siteReno, Nevada, United States
Job Summary
Design and build secure-by-default AI platforms, guardrails, and reusable frameworks that enable safe AI adoption, owning automation projects end-to-end from design through Infrastructure-as-Code deployment. Independently assess security impacts of AI-powered features, leading reviews to identify complex risks like prompt injection, data leakage, and trust-boundary violations while enforcing least-privilege patterns for agentic systems and MCP integrations. Threat model features to define security requirements before development and own triage for AI-related findings, driving SLA compliance and using AI to accelerate root-cause analysis. Act as the primary security partner for engineering teams, providing design input on new AI features and developing AI-augmented security tooling to multiply review capacity. Use AI fluently daily to validate outputs and scale work, partnering across teams to embed security into how they build and use AI.
Required Qualifications
- You must be work authorized in the United States without the need for employer sponsorship
- 4+ years of experience in application security, cloud security, or security-focused software engineering, including owning projects independently and partnering across teams
- Demonstrated depth in at least one of: secure code review and product security; cloud and infrastructure security (AWS, IAM, guardrails); or building production software with a strong security focus
- Proficiency in at least one high-level language (Python preferred; Kotlin or TypeScript a plus)
- Hands-on, daily use of AI/LLM tooling, and the judgment to validate its output for correctness and risk. This is essential to the role
- Applied experience securing or building AI/LLM-powered systems, or a clear track record of getting deep in a new technical domain quickly
- A habit of driving findings to remediation rather than just reporting them, with honest risk calibration
- Strong written and verbal communication, with the ability to explain security tradeoffs clearly to engineers and product partners
Desired Qualifications
- Hands-on experience with prompt-injection prevention, LLM input/output sanitization, or agent / tool-use / MCP security
- Experience building security automation, internal tooling, or guardrail frameworks
- Familiarity with cloud-native security (AWS) and infrastructure-as-code (e.g., Terraform)
- Contributions to AI security research, open source security tooling, or emerging AI security standards
- Kotlin or TypeScript
- Educational and wellness reimbursements
- Unlimited vacation
- Employee insurance plafis
- Company Stock Plan
- Advancement in the career
- Rich benefits
- Community-minded, discrimination-free equal opportunity workplace
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