Senior Cloud and AI Administrator

About the role

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.

Responsibilities

• Design and Strategy (Execution-Focused): 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)

• Enterprise AI & Copilot Implementation & Operations: 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
  • 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

• Cloud Platform & Infrastructure Delivery: 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)

• Cybersecurity & Governance Execution: Implement and enforce governance controls across cloud and AI platforms, including:

  • Cost management and FinOps practices
  • Access and configuration baselines
  • Logging, monitoring, and incident response integration
  • Execute threat modeling inputs and support risk assessments with cybersecurity teams

Qualifications

• Education: Bachelor’s degree in Computer Science, Information Systems, related field, or comparable industry experience

• Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Exp, Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Security, Compliance, and Identity

• Experience/Knowledge: 8–12+ years in IT infrastructure/cloud role, 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 model, 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)