Lead AI Platform Owner

Thomson Reuters•Toronto, ON

6d•$117,700 - $218,600•Hybrid

About The Position

Thomson Reuters is seeking an AI Platform Owner. This position pairs deep platform engineering expertise with the thought leadership needed to bring AI into production operations. The person owns the build, hardening, patching, and lifecycle of the operating system and platform estate, and serves as the top escalation point for complex incidents — while simultaneously identifying where AI and automation can replace manual toil, reduce incident volume, and shorten recovery times. Success depends as much on change leadership as on engineering: shaping standards, winning stakeholder buy-in, and guiding 1st line operations through new AI-enabled ways of working without disrupting service levels. As a Lead AI Platform Owner, your position will consist of: Platform engineering depth — packaging and hardening approved OS builds, management agent stacks, patch currency, and configuration standards across the estate AI-driven operations innovation — identifying, piloting, and scaling AI/automation use cases for incident triage, root cause analysis, runbook execution, and predictive monitoring Thought leadership and evangelism — articulating an AI-for-operations vision, authoring white papers and R&D positions, staying ahead of emerging tooling Change management and adoption — driving organizational uptake of new practices, coaching 1st line teams, managing risk and resistance while protecting SLAs Incident, problem, and change discipline — major incident leadership, RCA, and rigorous change control in a regulated production environment Service improvement measurement — instrumenting and evidencing reductions in incident volume and MTTR from process redesign and automation Solution design and implementation planning — translating requirements into physical builds, costed designs, and multi-workstream delivery plans Automation and infrastructure-as-code fluency — scripting, configuration management, and pipeline-driven platform delivery Standards, compliance, and documentation — run books, technical policies, and AI governance/guardrails to document-control standards Cross-functional influence — partnering with architecture, security, development, vendors, and the business to land change

Requirements

Platform engineering — OS hardening, golden image packaging, patch management, agent stacks
Database engineering — performance monitoring, indexing, stored procedures, standby/replication, backup & recovery
Storage engineering — SAN switch installs, disk consolidation/assignment, replication, storage standards
Network engineering — routing, rule sets, port/NIC configuration, run book and config standards
Application engineering — code review, design defect remediation, dev team interface
Monitoring, capacity planning, performance tuning, backup & recovery
Automation & scripting
Technical lead / SME point of escalation
Solution design & requirements definition
Multi-workstream implementation and project planning
Cost/design estimation and solution sign-off
Technical documentation, run books, standards & policy authoring
Vendor and third-party management
Cross-functional stakeholder collaboration
Team mentoring; deputizing for team manager
Continuous service improvement (CSI)
Risk and issue ownership
Technical R&D and white paper contribution

Responsibilities

Platform engineering depth — packaging and hardening approved OS builds, management agent stacks, patch currency, and configuration standards across the estate
AI-driven operations innovation — identifying, piloting, and scaling AI/automation use cases for incident triage, root cause analysis, runbook execution, and predictive monitoring
Thought leadership and evangelism — articulating an AI-for-operations vision, authoring white papers and R&D positions, staying ahead of emerging tooling
Change management and adoption — driving organizational uptake of new practices, coaching 1st line teams, managing risk and resistance while protecting SLAs
Incident, problem, and change discipline — major incident leadership, RCA, and rigorous change control in a regulated production environment
Service improvement measurement — instrumenting and evidencing reductions in incident volume and MTTR from process redesign and automation
Solution design and implementation planning — translating requirements into physical builds, costed designs, and multi-workstream delivery plans
Automation and infrastructure-as-code fluency — scripting, configuration management, and pipeline-driven platform delivery
Standards, compliance, and documentation — run books, technical policies, and AI governance/guardrails to document-control standards
Cross-functional influence — partnering with architecture, security, development, vendors, and the business to land change

Benefits

Hybrid Work Model
Flexibility & Work-Life Balance
Career Development and Growth
Industry Competitive Benefits
Culture
Social Impact
Making a Real-World Impact
flexible vacation
two company-wide Mental Health Days off
access to the Headspace app
retirement savings
tuition reimbursement
employee incentive programs
resources for mental, physical, and financial wellbeing
market competitive health, dental, vision, disability, and life insurance programs
competitive 401k plan with company match
competitive vacation, sick and safe paid time off
paid holidays
parental leave
sabbatical leave
optional hospital, accident and sickness insurance paid 100% by the employee
optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
fitness reimbursement
access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
access to 529 Plan
commuter benefits
Adoption & Surrogacy Assistance
Tuition Reimbursement
access to Employee Stock Purchase Plan