Manager, Enterprise Ai Services Engineering

Thomson Reuters

Base: $140,600 cad - $190,600 cad; bonus/equity: e...
Hybrid
Lead globally distributed engineering team
Own engineering delivery of tr ai gateway
Drive quarterly engineering delivery
This role is responsible for leading the team that builds, operates, and evolves Thomson Reuters' Enterprise AI Services (EAIS) platform

Job Summary

  • This role is responsible for leading the team that builds, operates, and evolves Thomson Reuters' Enterprise AI Services (EAIS) platform.
  • The successful candidate will lead a globally distributed team of full-time engineers and contractors across AMERS and APAC regions, drive quarterly engineering delivery against ADO sprint plans, and partner closely with Service Architecture, Enablement, Product Management, and Platform Engineering leadership.
  • We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Matching Summary

This role is responsible for leading the team that builds, operates, and evolves Thomson Reuters' Enterprise AI Services (EAIS) platform.

Salary

Base: $140,600 CAD - $190,600 CAD; Bonus/Equity: Eligible for Annual Bonus; Benefits: Comprehensive benefit plans

Skills & Requirements

Must-have

  • Lead globally distributed engineering team
  • Own engineering delivery of TR AI Gateway
  • Drive quarterly engineering delivery
  • Partner with leadership teams
  • Ensure production-grade operations
  • Maintain CI/CD automation pipelines
  • Manage Datadog observability

Nice-to-have

  • Career development and performance management
  • Contractor relationship management
  • Vendor accountability
  • Social impact initiatives
  • Pursuit of justice, truth, and transparency

Key Requirements

  • 7+ years software or cloud engineering experience
  • 3+ years engineering management or technical lead role
  • Deep hands-on multi-cloud platforms experience
  • Proven experience managing enterprise AI/ML/LLM platform teams
  • Strong foundation in DevOps and CI/CD practices
  • Experience with agile delivery frameworks
  • Familiarity with observability platforms
  • Understanding of enterprise identity and access management
  • Demonstrated ability to manage globally distributed teams
  • Experience with LLM orchestration layers
  • Familiarity with FedRAMP compliance requirements

Work Rights

Not specified

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