Canadian National Railway
Expert Security Architecture
Montreal Est, Quebec, CA
Sponsorship not specifiedDetected 14 days ago
AWSGCPAzureCloud PlatformsKubernetesDevOpsOAuthMachine LearningLLMsCybersecurityNetwork SecuritySIEMComplianceAgileSupply ChainElectrical EngineeringFirewallLeadershipCommunicationMentoringCISSP
About the role
- Ensure security architecture across enterprise environments is maintainable, sustainable, and properly documented.
- Assess AI-enabled solutions for emerging risks such as prompt injection, model manipulation, data leakage, and unauthorized use of enterprise data.
Responsibilities
- This role drives secure-by-design principles across engineering and operational teams by integrating security into architecture practices, development workflows, and enterprise technology decisions.
- Define and enforce security design patterns and controls for Artificial Intelligence (AI) and Generative AI workloads, including model lifecycle security, data protection, and responsible use.
- Security Roadmap and Strategy Report to the Senior Manager, Security Architecture and support the execution of the enterprise security architecture strategy defined by the CISO organization.
Skills
- Define security standards and guardrails for AI technologies aligned with enterprise policies, regulatory expectations, and risk tolerance.
- Contribute to the development of secure AI usage guidelines and governance frameworks.
Benefits
- Partner with Responsible AI, Data, and Architecture teams to integrate security controls into AI and machine learning solutions.
Company info
- Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year.
- At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
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This listing is sourced directly from Canadian National Railway's careers page and normalized into a canonical job model.