AI Security Architect

TC Energy

AI Security Architect at TC Energy overseeing security architecture for AI technologies and ensuring compliance. Collaborate with teams to mitigate risks and support secure AI adoption across the enterprise.

Posted 7/23/2026full-timeCalgary • 🇨🇦 CanadaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining security architectures for AI technologies, ensuring compliance with security standards and governance requirements. Proficient in identifying AI-specific risks and implementing mitigation strategies while collaborating with cross-functional teams to align security practices with enterprise objectives.

Highest-signal resume keywords

AI Security Architecture DevelopmentCybersecurity Risk ManagementCloud Security (AWS, Azure)AI Threat ModelingSecurity Certifications (CISSP, CCSP)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

CybersecuritySecurity ArchitectureAI/ML TechnologiesIdentity and Access ManagementThreat ModelingRisk ManagementData ProtectionLogging and MonitoringModel SecurityInfrastructure Security

Soft Skills

Technical LeadershipMentorshipCommunication

Tools & Technologies

AWSAzureAI PlatformsCloud Environments

Certifications & Qualifications

CISSPCCSPSABSAAWS Security SpecialtyAzure Security Engineer

Industry Keywords

Enterprise SecurityAI GovernanceComplianceCritical InfrastructureRegulated Industries

Tech Stack

Tools & technologies

AWSAzureCloudCyber Security

About the role

Key responsibilities & impact

Develop and maintain Enterprise Security AI security technology roadmap, standards, and reference architectures
Establish AI security design principles, guardrails, and governance requirements
Define security requirements for enterprise AI technologies, platforms, and AI-enabled solutions
Assess emerging AI technologies and provide security recommendations for enterprise adoption
Design secure architectures for enterprise AI technologies, platforms, and integrations with business and technology systems
Lead architecture reviews and security assessments for AI initiatives
Ensure security-by-design principles are embedded throughout the AI development lifecycle
Identify and assess AI-specific risks, including prompt injection, data poisoning, model manipulation, unauthorized model access, sensitive data exposure, agent misuse, privilege escalation, and supply chain risks
Develop compensating controls and mitigation strategies to reduce AI-related security risk
Support AI threat modeling and secure design reviews
Collaborate with AI Governance, Legal, Privacy, Risk, and Compliance teams to align AI security requirements with enterprise obligations
Ensure AI solutions align with applicable security, risk management, regulatory, industry, and internal policy requirements
Define AI security control requirements and governance processes
Provide security architecture guidance for AI workloads deployed across cloud, hybrid, and on-premises environments
Define requirements for identity and access management, data protection, logging and monitoring, model security, secrets management, and infrastructure security
Support the secure deployment and operation of enterprise AI platforms
Develop detection and response capabilities for AI-related threats
Partner with Security Operations, Threat Intelligence, and Incident Response teams to monitor and respond to AI-related risks
Identify opportunities to use AI to strengthen cybersecurity operations
Serve as the primary subject matter expert for AI security
Provide technical leadership and mentorship to architects, engineers, and analysts
Communicate AI security risks, recommendations, and architectural decisions to senior leadership
Influence enterprise AI investments and architectural decisions to support secure adoption

Requirements

What you’ll need

Bachelor’s degree in computer science, Cybersecurity, Information Technology, Engineering, or a related field
10+ years of experience in cybersecurity, security architecture, or cloud security
3+ years of experience securing AI, machine learning, data science, or advanced analytics platforms
Demonstrated experience developing enterprise security architectures
Strong understanding of AI/ML technologies, LLMs, agentic AI frameworks, cloud security architectures, identity and access management, threat modeling, and risk management
Experience with enterprise cloud platforms, including AWS and Azure
Relevant cybersecurity, cloud security, enterprise architecture, and AI security certifications such as CISSP, CCSP, SABSA, AWS Security Specialty, Azure Security Engineer, or equivalent
Experience securing enterprise AI platforms, AI-enabled applications, autonomous AI systems, and advanced AI architectures
Experience in critical infrastructure, energy, or other regulated industries

Benefits

Comp & perks

Hybrid work model
Flexible dress code