Senior Engineer, Enterprise Ai Services

Thomson Reuters

Ontario, Canada
Base: $105,000 cad - $155,000 cad; bonus/equity: e...
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Ai observability platform
Kubernetes expert for ai services
Telemetry pipelines and dashboards
** Thomson Reuters is seeking a Senior Engineer for its Enterprise AI Services team in Ontario, Canada. The role involves designing and operating observability capabilities for AI workloads, ensuring reliability and performance across multi-cloud environments, with a focus on collaboration and continuous improvement. **

Job Summary

  • The Senior Engineer, Enterprise AI Services is responsible for designing, building, and operating observability capabilities for AI and LLM workloads that power TR's AI-driven products.
  • You will own the end-to-end observability stack for AI (with Braintrust as foundational platform), enabling product teams, data scientists, and AI engineers to understand model behavior in production.
  • 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

Match Score: 75

** Thomson Reuters is seeking a Senior Engineer for its Enterprise AI Services team in Ontario, Canada. The role involves designing and operating observability capabilities for AI workloads, ensuring reliability and performance across multi-cloud environments, with a focus on collaboration and continuous improvement. **

Salary

Base: $105,000 CAD - $155,000 CAD; Bonus/Equity: Eligible for Annual Bonus; Benefits: Comprehensive benefit plans

Skills & Requirements

Must-have

  • AI observability platform
  • Kubernetes expert for AI services
  • Telemetry pipelines and dashboards
  • LLM/ML fundamentals
  • Modern observability tooling (Datadog)
  • Python and backend/platform language

Nice-to-have

  • Collaboration and communication skills
  • Agile environments experience
  • Curiosity about AI technologies
  • Strong problem-solving skills

Key Requirements

  • 5+ years in SRE, Observability Engineering, ML Platform
  • 2+ years supporting production LLM/ML systems
  • Hands-on experience with AI observability and evaluation platforms
  • Deep Kubernetes experience
  • Experience with API workloads across AWS, Azure, or GCP

Work Rights

Not specified

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