3 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 builds a global workforce platform that helps companies engage employees and contractors compliantly across countries, pairing software with managed services. Its offerings include direct Employer of Record and Agent of Record, payroll, contractor engagement, worker classification, and global tax and benefits compliance. The company is privately held and headquartered in Chicago, Illinois.