17 часов назад
Staff Security Engineer (AI Security & Platforms)
205 000 - 256 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Security Engineer (AI Security & Platforms) (AI security/LLM platforms): Architecting secure-by-default AI platforms, guardrails, and reusable frameworks for safe enterprise AI adoption with an accent on prompt injection defense, data leakage prevention, agent security, and trust boundaries. Focus on threat modeling AI features, securing tool-use and MCP integrations, building AI-augmented security pipelines, and establishing responsible AI security standards.
Location: San Ramon, CA or Reno, NV; must be authorized to work in the United States without employer sponsorship
Salary: $205,000–$256,000 per year
Company
builds a public-cloud industry platform for investment management, with a focus on security, agility, and usability.
What you will do
- Architect and build secure-by-default AI platforms, guardrails, and reusable security frameworks.
- Identify and mitigate AI-specific risks including prompt injection, data leakage, unsafe inputs and outputs, and trust-boundary violations.
- Secure agentic and tool-use systems, including function calling and MCP server integrations, using least-privilege patterns.
- Threat model AI features and infrastructure, define security requirements, and partner with engineering and product teams on secure implementation.
- Build AI-augmented security tooling and pipelines while maintaining low false-positive rates.
- Set organizational standards for responsible AI use, model and vendor evaluation, risk acceptance, and secure AI development.
Requirements
- 8+ years of experience in application security, cloud security, or security-focused software engineering, including complex cross-functional initiatives.
- Depth in secure code review and product security, cloud and infrastructure security, or production software development with a strong security focus.
- Advanced proficiency in a high-level programming language; Python is strongly preferred.
- Hands-on daily use of AI/LLM tooling and the ability to build and validate AI-powered systems for correctness and risk.
- Applied experience securing or building AI/LLM-powered systems, or a demonstrated ability to quickly master new technical domains.
- Strong architectural judgment, risk calibration, and written and verbal communication skills.
Nice to have
- Experience with prompt-injection prevention, LLM input/output sanitization, agent and tool-use security, or MCP security.
- Experience building developer platforms or organization-wide security guardrail frameworks.
- Contributions to AI security research, open-source security tooling, or emerging AI security standards.
- Familiarity with AWS cloud-native security and infrastructure-as-code such as Terraform.
Culture & Benefits
- Ownership, transparency, bias toward action, and collaborative problem-solving.
- Opportunities for career advancement and meaningful product impact.
- Company stock plan, subject to the applicable agreement.
- Unlimited vacation, educational and wellness reimbursements, and no-cost employee insurance plans.
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