Senior Cloud And AI Administrator

POSITION GOAL:

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.

ESSENTIAL FUNCTIONS: 

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

ADDITIONAL RESPONSIBILITIES:

1.     Comply with all occupational safety and health rules and regulations approved by the local Country, State and Province, NFI Group management, the safety committee and Union partners

2.     Comply with all Environmental Management Systems certification and Occupational Safety and Health certification achieved by NFI Group

Other duties as assigned.

Requirements

Education:

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

·          Certifications (Preferred)

·          Microsoft Certified: Azure Solutions Architect Expert

·          Microsoft Certified: Azure AI Engineer Associate

·          Microsoft Certified: Security, Compliance, and Identity

TOGAF or enterprise architecture certification (nice to have)

Experience/Knowledge

·          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)