Drive Azure cloud architecture for secure AI platforms in Toronto. Apply DevSecOps, identity, networking, and vulnerability management across production environments.
As Enterprise Architect, AI Engineering, you will design and review production-grade cloud applications and platforms. The focus spans Azure networking, Entra ID, Key Vault, containers, monitoring, security scanning, and automated deployment pipelines. You will establish patterns and guardrails that help engineering, DevOps/SRE, platform, and product teams deliver consistently.
Key Responsibilities:
- Review significant application, infrastructure, network, and platform changes
- Govern SDLC tooling, CI/CD, infrastructure-as-code, and artifact management
- Embed secure-by-design practices across identity and network security
- Coordinate vulnerability remediation and mitigating controls
- Maintain standards for cloud, cybersecurity, AI security, and architecture
Requirements:
- Solid Microsoft Azure and cloud-native architecture experience
- Experience with GitHub, Terraform, containers, and deployment pipelines
- Knowledge of identity, encryption, secrets, logging, and monitoring
- Understanding of DevSecOps, SAST, and container scanning
- Familiarity with generative AI and agentic system security
Apply Azure architecture, DevSecOps, and AI security expertise to create scalable guardrails for secure enterprise production delivery.
📌 Azure Cloud AI Architecture Lead (Toronto)
🏢 Toast
📍 Toronto