обновлено 5 дней назад
Senior AI Security Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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