AI Security Architect

Jobtailor; Calgary; On-site; CAD 150,000 - 190,000; Full time

Job summary

Jobtailor in Calgary seeks an experienced AI Security Architect to define security strategies for enterprise AI solutions and design secure architectures across cloud and on-premises environments.

You will lead security reviews, collaborate with Governance, Legal, and Privacy teams, and ensure security-by-design across the AI lifecycle. The role requires 10+ years in cybersecurity and strong cloud/AI security expertise.

Qualifications

• 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, ML, data science, or advanced analytics platforms.
• Demonstrated experience developing enterprise security architectures.
• Strong understanding of AI/ML technologies, LLMs, cloud security, IAM, threat modeling, and risk management.
• Experience with AWS and Azure cloud platforms.
• Certifications such as CISSP, CCSP, SABSA, AWS Security Specialty, Azure Security Engineer are a plus.
• Experience securing enterprise AI platforms and AI-enabled applications.

Responsibilities

• Develop and maintain AI security roadmaps, 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 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 and mitigation strategies.
• Collaborate with AI Governance, Legal, Privacy, Risk, and Compliance teams.
• Define AI security control requirements and governance processes.
• Provide security architecture guidance for AI workloads across cloud, hybrid, and on-premises environments.

Skills

Technical leadership

Cybersecurity

Security architecture

AI/ML technologies

Threat modeling

Risk management

Identity and access management

Data protection

Logging and monitoring

Model security

Infrastructure security

Communication

Mentorship

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Azure

AI Platforms

Cloud Environments

Job description

• 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

• 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

Core Competencies

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 Development


• Cybersecurity Risk Management


• Cloud Security (AWS, Azure)


• AI Threat Modeling


• Security Certifications (CISSP, CCSP)

Hard Skills

• Cybersecurity


• Security Architecture


• AI/ML Technologies


• Identity and Access Management


• Threat Modeling


• Risk Management


• Data Protection


• Logging and Monitoring


• Model Security


• Infrastructure Security

Soft Skills

• Technical Leadership


• Mentorship


• Communication

Certifications & Qualifications

• CISSP


• CCSP


• SABSA


• AWS Security Specialty


• Azure Security Engineer

Industry Keywords

• Enterprise Security


• AI Governance


• Compliance


• Critical Infrastructure


• Regulated Industries

Tools & Technologies

• AWS


• Azure


• AI Platforms


• Cloud Environments