Senior AI Security Engineer
at Appier
Taipei, Taiwan, onsite, senior, full time, 4+ years
posted 21 May 2026
- DAST
- MITRE ATLAS
- Infrastructure as Code
- OWASP Top 10 for LLM Applications
- Cloud-native
- SAST
- Prompt injection
- LLM
- Cursor
- NIST AI RMF
- SOC 2
- Penetration testing
- ChatGPT
- ISO 27001
- CISSP
- CISM
- Threat modeling
- CC
- CCSP
- SSDLC
- Vulnerability assessments
- CEH
- IaC scanning
- SSCP
- GitHub Copilot
- SCA
- CSSLP
- Policy as Code
- Claude Code
- CI/CD
- AI agents
- Secrets scanning
About the role
Posted: 2026-05-21
We are seeking a Senior Security Engineer to join our growing security team. As we continue building AI-powered services that deliver tremendous value to our customers worldwide, and given the rapid pace of our business growth, we are looking for experienced and capable talent to strengthen cybersecurity across all stages of product development and to collaborate closely with our software engineering teams. You will also play a key role in driving information security initiatives and integration efforts across the group, including addressing the emerging risks introduced by rapid advancements in AI technologies.
What you would do
- Design, implement, and maintain secure CI/CD pipelines with automated security controls (SAST, DAST, SCA, secrets scanning, and IaC scanning) integrated into development workflows
- Establish and drive the Secure Software Development Lifecycle (SSDLC), ensuring security is embedded at every stage — from design and threat modeling through deployment and runtime
- Define and standardize security requirements analysis and threat modeling practices to identify risks during the design phase
- Develop Policy as Code solutions to enable automated compliance and governance checks
- Conduct pre-production security assessments, vulnerability assessments, and penetration testing
- Implement security best practices for Infrastructure as Code (IaC) and cloud-native environments
- Build and maintain security monitoring, log aggregation, and alerting systems to support detection and response
- Create security deployment checklists and continuously improve production environment security posture
- Assess and mitigate emerging risks introduced by AI technologies, including risks related to LLM applications, AI agents, prompt injection, data leakage through AI tools, model supply chain, and AI-assisted development workflows
- Partner with engineering teams to evaluate, adopt, and govern AI-powered development tools (e.g., AI coding assistants, AI agents) in a secure and compliant manner
What they are looking for
Read from job-boards.greenhouse.io, last seen 4d ago.