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The Senior Cloud & AI Administrator is responsible for building, implementing, and operating enterprise cloud and AI platforms across the organization. This role directly delivers Azure-based infrastructure, Microsoft 365 services, and enterprise AI solutions (including Copilot and custom AI capabilities), ensuring they are secure, scalable, and effectively utilized.
The position actively executes across infrastructure, security, and data/AI domains to drive modernization, automation, and business outcomes through hands-on delivery and continuous optimization.
Build and maintain enterprise platforms across:
Microsoft Azure (IaaS, PaaS, AI services)
Microsoft 365 and collaboration tools
Enterprise AI ecosystem (Copilot, Azure OpenAI, AI development platforms)
Implement cloud-first and AI-enabled solutions aligned to business needs
Execute modernization initiatives (e.g., serverless deployments, infrastructure consolidation, automation)
Configure, deploy, and maintain:
Microsoft Copilot capabilities
AI agents (Copilot Studio, Power Platform)
AI-assisted development tools (e.g., GitHub Copilot)
Enforce governance, privacy, and data protection controls within AI solutions
Manage and operate:
AI tool inventory and lifecycle
Monitoring, usage analytics, and cost tracking
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Access controls, environment separation (Dev/Test/Prod), and publishing processes
· Implement and maintain controls with Security and Compliance teams for:
Responsible AI usage
Audit logging, monitoring, and investigation readiness
Identify and remediate risks related to unsanctioned AI usage while driving adoption of approved tools
Build, configure, and operate Azure environments, including:
Networking and hybrid connectivity
Identity and access (Entra ID, Conditional Access)
Compute, storage, and data services
Execute cloud migrations and workload placements
Continuously optimize cost, performance, and platform reliability
Develop and maintain automation (infrastructure as code, patching, deployment pipelines)
Implement and enforce governance controls across cloud and AI platforms, including:
·Cost management and practices
Access and configuration baselines
Logging, monitoring, and incident response integration
Execute threat modeling inputs and support risk assessments with cybersecurity teams
8–12+ years in IT infrastructure/cloud roles
3–5+ years in architecture-focused positions
Experience in enterprise-scale cloud and AI environments
Strong expertise in:
Microsoft Azure (compute, networking, AI services, automation)
Microsoft 365 ecosystem (Teams, SharePoint, Copilot)
Identity and access management (Entra ID)
Solid understanding of:
Enterprise AI platforms and governance models
Data security, privacy, and compliance frameworks
Hybrid infrastructure and networking
Familiarity with:
AI/ML concepts and enterprise AI deployment patterns
DevOps / GitHub Enterprise and CI/CD pipelines (preferred)
Public Canadian bus and motorcoach manufacturer serving transit, commuter, and coach markets with aftermarket parts and services.
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Senior · 8+ years experience
Hybrid
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