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6 дней назад

Sr./Staff AI Security Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr./Staff AI Security Engineer (AI): Assessing and securing LLMs, generative AI services, agentic systems, and AI data flows with an accent on threat modeling, governance, and security-by-design controls. Focus on designing mitigations for prompt injection, data leakage, model integrity, agentic behavior risks, and secure model serving across the AI development lifecycle.

Location: Taipei, Taiwan; onsite

Company

hirify.global is a global cloud security company providing internet content security and threat management solutions for businesses and consumers.

What you will do

  • Lead threat modeling and security risk assessments for LLMs, generative AI services, agentic and multi-agent systems, and AI data governance.
  • Work with legal and compliance teams to align AI applications with internal policies, NIST AI RMF, the EU AI Act, and emerging AI regulations.
  • Analyze vulnerabilities involving model integrity, training data exposure, inference endpoints, and agentic behavior.
  • Design remediation plans and actionable security controls for identified AI risks.
  • Implement AI security services including input/output content filters, adversarial defenses, and secure model-serving architectures.
  • Embed data governance, access controls, usage policy enforcement, compliance auditing, and security-by-design practices throughout the AI development lifecycle.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field.
  • 5+ years of software engineering experience, including at least 2 years building and deploying AI applications or AI platforms in production.
  • Proficiency in Python, LLM APIs, prompt and context engineering, and AI agent or orchestration frameworks.
  • Practical experience with coding assistants, agentic runtimes, and CI/CD pipeline integration.
  • Familiarity with AWS, Azure, or GCP, as well as Docker and Kubernetes.
  • Strong understanding of prompt injection, data leakage, model misuse, agentic behavior risks, and communicating findings to technical and non-technical stakeholders.

Nice to have

  • Experience in AI/ML security, MLSecOps, or cloud-native security.
  • Familiarity with AI governance and security frameworks such as ISO 42001, NIST CSF, and ISO 27001.
  • Experience with shadow AI detection, non-human identity or agent identity management, and AI observability tooling.
  • CISSP, CISM, CRISC, or CAISP certification.
  • Experience with software supply chain security for AI models and training data.

Culture & Benefits

  • Work within the Global CISO Office GRC team at a global cloud security company.
  • Collaborate with product, engineering, legal, and compliance functions.
  • Contribute to security practices for evolving AI systems and adoption initiatives.

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