Enterprise AI Platform Operations Engineer

The Enterprise AI Platform Operations Engineer will ensure the reliable operation, governance, and continuous evolution of MetLife’s enterprise AI productivity platform, supporting Copilot and other AI Personal Productivity tool users. This role involves day-to-day operations, feature triage, automation scripting, license governance, and creating technical documentation for a large-scale enterprise AI deployment.

What you'd actually do

  1. Lead day-to-day operations of MetLife’s enterprise AI productivity platform as Super Administrator and primary escalation point for platform issues —owning platform health monitoring, incident resolution, and vendor escalation management through ServiceNow and Microsoft support channels with a high degree of accountability and ownership. Proven ability to operate with ambiguity and make sound judgment calls in fast‑moving, evolving product environments.
  2. Oversee AI platform feature triage via vendor communication channels (e.g., Message Center or equivalent), evaluating incoming product updates for enterprise impact and coordinating readiness, rollout, stakeholder communications and RUAI / ARB submission and approvals — translating complex platform and policy changes into clear, actionable guidance for both technical and non-technical audiences across the organization.
  3. Develop automation scripts, Power Automate flows, and Power Apps solutions to streamline platform and license operations; manage AI agent lifecycle, registry monitoring, connector integrations, and extensibility frameworks to support enterprise scale.
  4. Manage end-to-end AI platform license governance, including allocation, provisioning, bulk administration, and oversight of enterprise licensing applications — ensuring compliance, integrity, and accurate reporting across the organization. High degree of accountability and ownership mindset; comfortable serving as the “front door” and escalation point for platform issues.
  5. Create technical design documentation, architecture diagrams, and operational runbooks that support platform governance and change management; influence cross-functional teams across engineering, security, compliance, support, and vendor partners without direct authority.

Skills

Required

  • 8+ years of experience in enterprise technology operations, platform administration, or cloud service management
  • demonstrated experience owning production operations for business-critical SaaS platforms
  • incident response
  • change management
  • vendor escalation
  • Prior experience operating or supporting enterprise‑scale SaaS platforms with frequent vendor‑driven change
  • Hands-on experience with enterprise AI platform administration tools and governance frameworks
  • Proficiency in scripting and automation (PowerShell or equivalent)
  • hands-on experience with Power Platform — including building and maintaining Power Apps and Power Automate flows
  • Experience operating within ServiceNow or equivalent ITSM platforms for incident and request management
  • familiarity with enterprise connectors and extensibility frameworks

Nice to have

  • Microsoft AI and cloud platform certifications (e.g., AI-900, AI-102, AWS Cloud Practitioner, or equivalent)
  • PL-900 (Power Platform Fundamentals) or equivalent low-code/automation platform certification

What the JD emphasized

  • owning platform health monitoring
  • incident resolution
  • vendor escalation management
  • high degree of accountability and ownership
  • operate with ambiguity
  • fast-moving, evolving product environments
  • enterprise impact
  • stakeholder communications
  • platform and policy changes
  • technical and non-technical audiences
  • automation scripts
  • AI agent lifecycle
  • enterprise scale
  • license governance
  • enterprise licensing applications
  • compliance
  • integrity
  • accurate reporting
  • serving as the “front door”
  • escalation point for platform issues
  • technical design documentation
  • architecture diagrams
  • operational runbooks
  • platform governance
  • change management
  • influence cross-functional teams
  • security
  • compliance
  • vendor partners
  • enterprise technology operations
  • platform administration
  • cloud service management
  • production operations
  • business-critical SaaS platforms
  • regulated industries
  • financial services
  • healthcare
  • enterprise-scale SaaS platforms
  • frequent vendor‑driven change
  • enterprise AI productivity platforms
  • cloud SaaS solutions
  • enterprise AI platform administration tools
  • governance frameworks
  • AI control systems
  • feature lifecycle management
  • data security posture management
  • agent management
  • workflow automation platforms
  • Copilot Studio
  • Claude
  • API-based platform integrations
  • scripting and automation
  • enterprise AI platform administration
  • Power Platform
  • Power Apps
  • Power Automate flows
  • enterprise operational workflows
  • license management
  • ServiceNow
  • ITSM platforms
  • incident and request management
  • enterprise connectors
  • extensibility frameworks
  • AI productivity platform capabilities

Other signals

  • enterprise AI deployment
  • AI productivity platform
  • AI Personal Productivity tool users
  • AI platform operations
  • AI agent lifecycle