AI Platform Lead: Automation, Reliability & Incident Mastery

Socket.dev

Minnesota

Hybrid

USD 102,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Hybrid Work Model
Flex My Way
Career Development
Mental Health Days
Wellbeing benefits

Job summary

Thomson Reuters is seeking an experienced Lead AI Platform Owner to govern the OS builds, patching, and platform estate while driving AI-enabled production operations. The role blends deep platform engineering with change leadership to reduce incidents and accelerate automation.

You will lead cross-functional teams, shape standards, coach first-line staff, and ensure SLAs are met as you architect scalable, compliant solutions for AI-enabled operations.

Qualifications

  • Own OS builds, patching, and configuration standards across the estate.
  • Identify and scale AI/automation use cases for incident triage, RCA, runbook execution, and predictive monitoring.
  • Lead change management and adoption while protecting SLAs in a regulated environment.
  • Provide technical leadership, run books, standards, and policy authoring across teams.

Responsibilities

  • Platform engineering depth across OS hardening, image packaging, and agent stacks.
  • AI-driven ops: pilot and scale AI/automation for incident triage and monitoring.
  • Thought leadership: articulate AI-for-operations vision and write papers.
  • Change management: drive adoption, coach 1st line teams, manage risk.
  • CSI: instrument reductions in incident volume and MTTR.
  • Solution design and planning for multi-workstream delivery.
  • Automation & IaC fluency: scripting and pipeline-driven delivery.
  • Standards, compliance, and documentation for governance.

Skills

Platform engineering
AI-driven ops
Change management
Incident discipline
Service improvement
Governance & standards
Cross-functional influence
Solution design
Automation scripting

Job description

Thomson Reuters is seeking an experienced Lead AI Platform Owner to govern the OS builds, patching, and platform estate while driving AI-enabled production operations. The role blends deep platform engineering with change leadership to reduce incidents and accelerate automation.

You will lead cross-functional teams, shape standards, coach first-line staff, and ensure SLAs are met as you architect scalable, compliant solutions for AI-enabled operations.

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