Azure Cloud Ai Architecture Lead

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 changesGovern SDLC tooling, CI/CD, infrastructure-as-code, and artifact managementEmbed secure-by-design practices across identity and network securityCoordinate vulnerability remediation and mitigating controlsMaintain standards for cloud, cybersecurity, AI security, and architectureRequirements:
Strong Microsoft Azure and cloud-native architecture experienceExperience with GitHub, Terraform, containers, and deployment pipelinesKnowledge of identity, encryption, secrets, logging, and monitoringUnderstanding of DevSecOps, SAST, and container scanningFamiliarity with generative AI and agentic system securityApply Azure architecture, DevSecOps, and AI security expertise to create scalable guardrails for secure enterprise production delivery.
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