Manager, Enterprise Ai Services Engineering

Thomson Reuters

Toronto, Ontario, Canada
Base: $140,600 cad - $190,600 cad (ontario); bonus...
Hybrid
7+ years software or cloud engineering experience
3+ years engineering management role
Multi-cloud platforms azure aws gcp
This role leads a globally distributed team responsible for building, operating, and evolving the Enterprise AI Services platform across Azure, AWS, and GCP

Job Summary

  • This role leads a globally distributed team responsible for building, operating, and evolving the Enterprise AI Services platform across Azure, AWS, and GCP.
  • The position requires owning the engineering delivery of the TR AI Gateway service while ensuring security, scalability, and alignment with strategic AI ambitions.
  • Candidates will benefit from a flexible hybrid work model, comprehensive mental health support, and opportunities for career development in an AI-enabled future.

Matching Summary

This role leads a globally distributed team responsible for building, operating, and evolving the Enterprise AI Services platform across Azure, AWS, and GCP.

Salary

Base: $140,600 CAD - $190,600 CAD (Ontario); Bonus: Eligible for Annual Bonus based on performance; Benefits: Comprehensive plans including vacation, mental health days, tuition reimbursement

Skills & Requirements

Must-have

  • 7+ years software or cloud engineering experience
  • 3+ years engineering management role
  • Multi-cloud platforms Azure AWS GCP
  • Enterprise AI ML LLM platform engineering
  • DevOps CI/CD infrastructure-as-code Kubernetes
  • Azure DevOps Boards agile Scrum delivery
  • Global distributed team management

Nice-to-have

  • FedRAMP compliance requirements knowledge
  • Vertex AI Azure OpenAI AWS Bedrock integration
  • Vendor and contractor management experience
  • LLM orchestration RAG pipelines expertise
  • Platform Engineering shared services background
  • Datadog observability platform familiarity

Key Requirements

  • 7+ years software/cloud engineering experience
  • 3+ years engineering management experience
  • Experience managing global blended teams
  • FedRAMP compliance understanding
  • Cloud security and IAM standards knowledge

Work Rights

Not specified

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