Lead AI Cloud Security Engineer

Role Overview

• Design, implement, and automate security controls across cloud and AI environments, ensuring secure-by-default architecture, continuous compliance, and protection against evolving threats.
• Implement and operate AI Security Posture Management (AI SPM) solutions, including Cloud security posture management to continuously assess, detect, and remediate risks across AI and cloud environments.
• Secure AI and Generative AI workloads, including model pipelines, training data, inference APIs, and LLM integrations against threats such as prompt injection, data leakage, model abuse, and adversarial attacks.
• Design and implement AI SPM controls to provide visibility into AI assets, monitor model usage and access patterns, enforce security guardrails, and manage AI risks across the full lifecycle.
• Embed security into CI/CD and MLOps pipelines (DevSecOps) using automated controls such as SAST/DAST, IaC scanning, secrets detection, and compliance enforcement gates.
• Develop and maintain security policies and policy-as-code frameworks (e.g., Azure Policy) to enforce governance, regulatory compliance, and responsible AI usage.
• Engineer monitoring, detection, and response capabilities for cloud and AI systems, integrating telemetry with SIEM/SOAR platforms for centralized visibility and automated response.
• Perform security testing and validation across cloud, application, API, and AI layers, including AI-specific scenarios such as prompt injection and model misuse prior to production deployment.
• Automate security operations through scripting and tooling (e.g., Python, PowerShell) to improve efficiency, scalability, and consistency of controls.
• Conduct risk assessments, threat modeling, and security reviews for cloud infrastructure and AI systems to identify vulnerabilities and implement mitigation strategies.
• Collaborate with AI teams, and security stakeholders to drive secure-by-design architectures and enable scalable, governed AI adoption.

Requirements

• Minimum 8-10+ years IT industry experience
• 5+ years of experience in cloud and security engineering, with strong hands-on expertise in Azure or similar cloud platforms
• Must have any of the following: PRISMA AIRS, MS AI defender, AI foundry, Zenity
• Required experience in AI Security and AI SPM (Security Posture Management), including securing AI and Generative AI systems and managing risks such as prompt injection, data leakage, and model abuse
• Proven experience with CSPM, CWP, and IaC and implementing secure cloud architectures
• Strong understanding of DevSecOps practices, including CI/CD security, SAST/DAST, IaC scanning, and automation (Python/PowerShell)
• Experience developing and enforcing security policies and policy-as-code frameworks aligned with standards like NIST, ISO, and CIS
• Knowledge of security monitoring, SIEM/SOAR, and incident response for cloud and AI environments
• Experience with security testing, threat modeling, and risk assessments
• Strong collaboration and communication skills, with the ability to work across cloud, AI, and security teams

Tech Stack

• Azure
• Cloud
• Python

Benefits

• Health insurance
• Dental insurance
• Mental health benefits
• Vision benefits
• Short
• and long-term disability
• Life and AD&D insurance coverage
• Adoption/surrogacy and wellness benefits
• Employee/family assistance plans
• Retirement savings plans (including pension and global share ownership plan with employer matching contributions)
• Financial education and counseling resources
• Generous paid time off program in Canada includes holidays, vacation, personal, and sick days
• Full range of statutory leaves of absence