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Thomson Reuters

Senior Manager, AI Engineering

Thomson Reuters

. Build, hire, mentor, and develop a high-performing team of backend, platform, and AI engineers .

Posted 10/23/2026full-timeToronto • CanadaSenior💰 CA$140,600 - CA$190,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading and mentoring high-performing engineering teams, particularly in backend and AI development. Proficient in setting technical direction and modernizing systems to enhance scalability and reliability in legal technology.

Highest-signal resume keywords
10+ Years ExperienceHands-On Proficiency In PythonStrong Cloud Experience With AWSExperience Leading Multi-Team InitiativesExperience With Machine Learning Systems

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringBackend DevelopmentMachine LearningGenerative AIData ProcessingDistributed SystemsAI EvaluationPrototypingModernizationTesting Standards
Soft Skills
MentoringCollaborationProblem-SolvingAdaptabilityRelationship Building
Tools & Technologies
AWSAzureGCPPythonJava
Industry Keywords
Legal TechnologyLegal ResearchHigh-Accuracy Data DomainsAI TransformationMatrixed Organization

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPython

About the role

Key responsibilities & impact
  • Build, hire, mentor, and develop a high-performing team of backend, platform, and AI engineers
  • Set technical direction and create a scalable technical strategy and roadmap for KeyCite
  • Partner with Product, Editorial, Research, Engineering, and AI teams
  • Lead development and productionization of generative AI and machine learning capabilities for legal research
  • Modernize KeyCite processing, publishing, and services to improve scalability, reliability, and delivery speed
  • Work with AI researchers and legal domain experts to apply AI, machine learning, and traditional software to trusted professional workflows
  • Establish standards for architecture, reliability, observability, experimentation, testing, and AI evaluation
  • Lead initiatives from prototype through productionization, measurement, and continuous improvement
  • Remove blockers and build strong cross-functional relationships

Requirements

What you’ll need
  • 10+ years experience
  • At least 7 years of software engineering experience
  • Experience that began before the wide adoption of generative AI
  • At least 2 years of people-management experience
  • Experience managing teams of 10 or more people
  • Experience leading multi-team initiatives
  • Hands-on proficiency in Python and Java
  • Experience building scalable backend or distributed systems
  • Strong cloud experience, with AWS preferred; strong Azure or GCP experience also considered
  • Experience taking machine learning or generative AI systems from prototype into production
  • Experience leading teams through modernization of existing systems while keeping them reliable
  • Ability to work with ambiguity and drive change in a fast-moving environment
  • Preferred: experience with LLM evaluation, retrieval, grounding, or agent-based architectures
  • Preferred: experience in legal technology, legal research, or regulated/high-accuracy professional-data domains
  • Preferred: experience at a company navigating an AI transformation
  • Preferred: large-scale data processing, search, knowledge graph, or data platform experience
  • Preferred: experience leading or working alongside engineering managers in a matrixed organization

Benefits

Comp & perks
  • Flexible hybrid working environment
  • Work from anywhere for up to 8 weeks per year
  • Continuous learning and skill development
  • Grow My Way programming
  • 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
  • Two paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and ESG initiatives
  • Annual Bonus based on a combination of enterprise and individual performance
  • Flexible and supportive benefits and other wellbeing programs