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

Solid 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

📌 AI Security Architect (Calgary)
🏢 Jobtailor
📍 Calgary