M365 Platform Engineer

RaceTracAtlanta, GA

About The Position

The M365 AI & Automation Platform Admin is responsible for the reliable, secure, and scalable operation of the organization’s Microsoft 365 AI and automation ecosystem, including Power Platform, Copilot Studio, and Azure AI (Foundry/OpenAI). This role leads the standardization and governance of enterprise automation and AI initiatives while partnering closely with infrastructure, security, and application teams to ensure solutions are secure, cost-effective, and aligned with business objectives. This role balances platform control with enablement, ensuring AI and automation capabilities drive measurable business value without introducing risk or sprawl.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience)
  • 5–8+ years of experience in: Microsoft 365, Power Platform, or enterprise automation
  • Hands-on experience with: Power Automate, Power Apps, Dataverse, Copilot Studio / Power Virtual Agents
  • Strong understanding of: Microsoft 365 architecture (Teams, SharePoint, Exchange integration), Entra ID (RBAC, app registrations, service principals)
  • Technical Expertise: Azure AI: Azure AI Foundry, Azure OpenAI (APIs, model integration, prompt design)
  • Integration: Microsoft Graph API, REST APIs and secure authentication (OAuth, managed identity)
  • Platform Governance: DLP policies, environment strategy, and lifecycle management
  • Deployment: Solution packaging and promotion across environments
  • Monitoring: Dynatrace, Log Analytics, Application Insights, or equivalent tools

Responsibilities

  • Own the end-to-end architecture and governance of: Power Platform (Power Automate, Power Apps, Dataverse), Copilot Studio (AI agents), Azure AI (Azure OpenAI, Azure AI Foundry)
  • Define and enforce: Environment strategy (Dev / Test / Prod), DLP policies and connector governance, Agent lifecycle management (build → test → deploy → retire)
  • Establish standards for: Automation development, reuse, and scalability, Agent publishing, deployment, and access control
  • Integrate automation with: Microsoft Graph API, Azure services (Functions, Logic Apps, API Management), Enterprise platforms (ServiceNow, Workday, etc.)
  • Establish visibility into: Automation usage and performance, Agent adoption and effectiveness, AI consumption patterns (where available)
  • Manage: Licensing impact and capacity utilization, Cost control strategies for automation and AI usage
  • Identify opportunities to: Eliminate redundancy, Optimize platform efficiency
  • Ensure all automation and AI solutions: Align with enterprise security and compliance requirements, Use approved connectors and governed data sources
  • Partner with cybersecurity teams to: Enforce least-privilege access, Monitor and mitigate data exposure risks, Maintain auditability and governance across the platform
  • Establish and lead a Power Platform & AI Center of Excellence
  • Define and manage: Intake and approval processes for automation and AI use cases
  • Provide guidance to business teams on: Best practices, Governance standards
  • Act as both: Platform gatekeeper and strategic enabler
  • Collaborate with: Infrastructure, Security, and Application teams, Business stakeholders and functional leaders
  • Translate business requirements into: Scalable, secure automation and AI solutions
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