Lead Software Engineer, AI

Thomson Reuters

Lead Software Engineer developing cutting-edge AI solutions for Thomson Reuters. Involved in technical strategy and collaboration with cross-functional teams to deliver enterprise-grade AI systems.

Posted 6/2/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$140,000 - CA$175,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Spearhead the development of cutting-edge AI-powered solutions and driving technical strategy
Collaborate with senior stakeholders, product leadership, and cross-functional teams
Design and lead the implementation of complex, enterprise-scale AI systems
Lead the adaptation and customization of AI models for specialized domains
Define technical standards and best practices for AI system architecture
Lead evaluation and strategic adoption of cutting-edge AI techniques
Mentor a team of senior and junior Software engineers, fostering technical growth
Design and implement comprehensive testing frameworks for AI model performance

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or equivalent experience; Master's degree preferred
8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML
Experienced with Generative AI/RAG/LLM
Expert-level proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, JAX)
Deep understanding of machine learning principles and advanced evaluation methodologies
Proven experience with MLOps / LLMOps and managing the complete lifecycle of enterprise AI-powered applications
Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures
Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform)
Experience leading teams in building AI-driven systems

Benefits

Comp & perks

Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
Flex My Way: Supportive workplace policies for managing personal and professional responsibilities
Career Development and Growth: Culture of continuous learning and skill development
Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation and two Mental Health Days
Social Impact: Two paid volunteer days off annually and pro-bono consulting opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonGenerative AIRAGLLMPyTorchTensorFlowJAXMLOpsLLMOpsAI model integration

Soft Skills

leadershipcollaborationmentoringtechnical growthcommunication

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringMaster's degree in Computer ScienceMaster's degree in Engineering