about 4 hours ago
Toronto, Canada or Washington, DC, USASenior / Staff+
Responsibilities
- Design and implement secure architectures for enterprise AI platforms and applications.
- Build and maintain a secure AI sandbox environment for experimentation.
- Develop security guardrails for AI-assisted development and workflows.
- Evaluate new AI technologies and recommend secure adoption strategies.
- Integrate security throughout the Secure Software Development Lifecycle (SSDLC).
- Integrate various security scanning tools into CI/CD pipelines.
- Secure cloud-native applications and AI services across multiple cloud platforms.
- Review AI applications and integrations prior to production deployment.
- Perform AI security assessments and architecture reviews.
- Support vulnerability management and incident response for AI platforms.
- Partner with engineering teams to enable secure development.
Requirements
- 7–12+ years of experience in cybersecurity, application security, or related fields.
- Experience securing enterprise AI platforms and AI-assisted development tools.
- Deep understanding of modern AI security concepts and risks.
- Strong knowledge of cloud platforms, APIs, and AI service integration.
- Experience integrating security into software delivery pipelines.
- Hands-on experience with application and cloud security.
- Experience implementing IAM and Zero Trust principles.
- Strong automation and scripting skills in Python, PowerShell, or Bash.
- Excellent communication skills for translating security requirements.
Benefits
- Opportunity to work with a purpose in global expansion.
- Diverse and inclusive work environment.
- Flexible PTO and your birthday off.
- Generous Parental Leave Program.
- Growth and development opportunities with access to learning resources.