2 months ago
Toronto, Canada or Washington, DC, USASenior
Responsibilities
- Design and implement secure architectures for enterprise AI platforms, AI assistants, AI APIs, and AI-enabled applications.
- Build and maintain a secure AI sandbox for experimentation and responsible AI adoption.
- Develop security guardrails for AI-assisted development, AI-generated code, AI agents, and AI workflows.
- Evaluate emerging AI technologies and recommend secure adoption strategies based on business needs and risk.
- Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD pipelines.
- Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS, and GCP.
- Review AI applications, integrations, and AI-generated solutions before production deployment.
- Perform AI security assessments, threat modeling, and architecture reviews.
- Support vulnerability management, incident response, and threat detection involving AI platforms and cloud services.
- Support change management, configuration management, documentation, audit evidence, and ISO/IEC and AI governance initiatives.
- Partner with engineering teams to enable secure development while minimizing friction.
- Research emerging AI technologies, threats, and security best practices.
Requirements
- 7–12+ years of experience in cybersecurity, application security, DevSecOps, cloud security, platform engineering, or related disciplines.
- Experience securing enterprise AI platforms, AI APIs, AI-assisted development tools, or LLM ecosystems.
- Understanding of AI security concepts including prompt injection, data leakage, AI supply chain risks, and responsible AI practices.
- Experience integrating security into software delivery pipelines through automated testing and policy enforcement.
- Hands-on experience with application security, cloud security, vulnerability management, and developer security platforms.
- Experience implementing IAM, Zero Trust principles, logging, monitoring, and security automation.
- Experience supporting governance frameworks such as ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, NIST CSF, or SOC 2.
- Strong automation and scripting skills using Python, PowerShell, Bash, or REST APIs.
- Preferred experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI orchestration platforms.
- Preferred experience implementing AI governance programs, conducting threat modeling and application security assessments, supporting audits, and holding relevant professional certifications.
- Strong communication skills and the ability to translate security requirements into practical engineering solutions.
Benefits
- Country-specific benefits
- Flexible PTO
- Birthday off and a volunteer day
- Generous parental leave program
- Growth and development opportunities with access to a top learning content provider
- Diverse and inclusive work environment
Tech Stack
Categories
About Atlas HXM
Atlas HXM understands how people work. Our team of trusted experts support you with the ins-and-outs of global expansion, local compliance, and employee experience across the globe. You find the talent — we handle everything else.