Key Responsibilities
- Design and implement secure AI platform architectures with zero-trust principles
- Develop DevSecOps pipelines integrating security scanning into CI/CD workflows
- Lead threat modeling and risk assessments for AI/ML systems
- Collaborate with engineering teams to enforce security best practices
- Automate security compliance and audit processes
Requirements
- 7+ years in security engineering with AI/ML focus
- Expertise in DevSecOps tools (e.g., Aqua, Prisma, Snyk)
- Strong background in cloud security (AWS/GCP/Azure)
- Experience with Kubernetes, Terraform, and infrastructure-as-code
- Deep understanding of AI model security and adversarial attacks