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3 дня назад

Staff Security Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Security Engineer (AI): Securing hirify.global's AI-native transformation by defining security standards for LLMs, agentic systems, and MCP implementations with an accent on threat modeling and risk mitigation. Focus on building security tooling, monitoring anomalous model behavior, and partnering with engineering teams to ensure safe AI deployment.

Location: Must be based in San Francisco, CA (Hybrid: Tuesday–Thursday in office)

Company

hirify.global is a global leader in Open Banking Payments, building a smarter and more secure financial future through its disruptive payment network.

What you will do

  • Own security assessment and risk management for AI and LLM systems, including Claude and agentic workflows.
  • Define security controls, access governance, and monitoring frameworks to prevent prompt injection and data leakage.
  • Partner with the AI Enablement team to conduct threat modeling and review architectures for safe deployment.
  • Build and maintain tooling for real-time AI security monitoring and detection of policy violations.
  • Develop AI security standards, guidelines, and training resources for engineering teams.
  • Stay at the leading edge of AI security research to track emerging attack vectors and regulatory developments.

Requirements

  • 8+ years of security engineering experience, with 2-3 years focused on AI/ML or LLM security.
  • Deep understanding of the AI threat landscape, including prompt injection, jailbreaking, and model exfiltration.
  • Strong fundamentals in threat modeling, secure design review, and penetration testing.
  • Familiarity with MCP architecture, LLM orchestration frameworks, and agentic AI deployment patterns.
  • Track record of operating at Staff+ IC scope, driving security decisions across multiple teams.
  • Excellent communication skills for explaining complex AI risks to technical and non-technical stakeholders.

Culture & Benefits

  • Opportunity to work at the forefront of AI-native transformation in a global fintech environment.
  • Collaborative, high-growth, and entrepreneurial team culture.
  • Commitment to diversity, equity, and inclusion as an equal opportunity employer.
  • Hybrid work environment designed to foster team collaboration.

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