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обновлено 5 дней назад

Senior AI Security Engineer

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

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TL;DR
Senior AI Security Engineer (AI Security/DevSecOps): Building secure software delivery, cloud-native security, and AI risk controls for AI-powered services with an accent on SSDLC, threat modeling, automated security testing, and policy as code. Focus on assessing LLM and AI-agent risks, securing AI-assisted development workflows, and integrating monitoring and compliance controls across product development.

Location: Taipei, Taiwan

Company

hirify.global builds AI-powered services for customers worldwide and is strengthening cybersecurity across product development and group-wide information security initiatives.

What you will do

  • Design and maintain secure CI/CD pipelines with SAST, DAST, SCA, secrets scanning, and IaC scanning.
  • Establish SSDLC practices covering secure design, threat modeling, deployment, and runtime security.
  • Develop Policy as Code solutions and standardize security requirements and threat modeling.
  • Conduct pre-production security assessments, vulnerability assessments, and penetration testing.
  • Implement security controls for IaC and cloud-native environments, including monitoring, logging, alerting, and deployment checklists.
  • Assess AI-related risks such as prompt injection, data leakage, model supply-chain threats, and insecure AI-agent or AI-assisted development workflows.

Requirements

  • At least 4 years of experience in cybersecurity, DevSecOps, or software development.
  • Strong understanding of SSDLC and modern application security practices.
  • Hands-on experience with software product engineering, deployment, and system integration.
  • Practical experience using AI automation or AI agents for security operations, code review, or workflow automation.
  • Ability to evaluate product performance metrics, diagnose issues, and drive resolution.
  • Strong communication and collaboration skills across engineering and business teams.

Nice to have

  • BS/MS in Computer Science or a related field.
  • Security certifications such as CISSP, CCSP, SSCP, CSSLP, CC, CISM, or CEH.
  • Experience with ISO 27001, SOC 2, SOC operations, threat hunting, or red-blue team exercises.
  • Experience building SSDLC processes and securing AI/ML pipelines.
  • Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, or NIST AI RMF.

Culture & Benefits

  • Collaboration with software engineering teams across product development.
  • Opportunity to drive security initiatives and integration efforts across the group.
  • Work focused on emerging cybersecurity risks introduced by AI technologies.

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