Top Tech Jobs & Startup Jobs in Toronto

Build and deploy secure, scalable software and AI solutions for legal workflows. Partner with legal customers to translate needs into technical products, develop production-grade Python services, evaluate LLM outputs, optimize prompts, and apply cloud-native, DevOps, and infrastructure-as-code practices. Mentor engineers, manage technical debt, and collaborate across engineering, product, legal, and design teams.

Lead the vision, strategy, roadmap, governance, and commercialization of Thomson Reuters’ shared Agentic Platform for Tax and Trade products. Partner with product lines, engineering, AI, security, compliance, design, sales, and finance to deliver orchestration, memory, integrations, identity, evaluation, and human-in-the-loop capabilities. Build and mentor a product management team, align senior stakeholders, manage platform economics, establish quality standards, and drive adoption, reliability, and business impact across a global B2B SaaS portfolio.

Develop and execute digital growth strategies for Legal and Tax ecommerce products. Own optimization and personalization roadmaps, define A/B tests, manage cross-functional stakeholders, track OKRs, analyze performance and market trends, and identify opportunities to increase digital sales and improve user experiences. Collaborate with Marketing, Data & Analytics, Legal, Commercial Engineering, and Performance teams to deliver measurable growth.

Design, build, test, and deploy secure cloud-native software and AI solutions for legal workflows. Partner with legal customers to translate needs into scalable products, evaluate LLM outputs, optimize prompts, apply DevOps and infrastructure-as-code practices, manage technical debt, and mentor junior engineers. The role requires strong Python and distributed-systems expertise, legal fluency, client communication, and collaboration across engineering, product, legal, and design teams.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Build and operate Thomson Reuters’ scalable search platform, including document ingestion pipelines, indexing systems, query APIs, cloud infrastructure, and AI-enabled retrieval capabilities. Responsibilities include designing distributed services, migrating from OpenSearch to Vespa, improving observability and reliability, participating in on-call, owning production incidents, mentoring engineers, and collaborating with research scientists and client teams to deliver search and AI features.

Build and lead a customizable, enterprise-scale search retrieval platform. Responsibilities include designing retrieval APIs and search services, managing ingestion and indexing pipelines, enabling hybrid retrieval and ranking, operationalizing evaluation and observability, enforcing multi-tenant security, owning SLOs and on-call, and partnering with product, research, and applied science teams. The role also sets architectural direction, leads cross-team initiatives, and mentors engineers.

Build and deploy production-grade AI solutions for legal workflows, including RAG pipelines, agentic systems, enterprise integrations, evaluation frameworks, and observability. Collaborate with architects, engineers, clients, and legal subject-matter experts to translate legal needs into secure, scalable implementations. Participate in technical discovery, prototyping, demonstrations, prompt engineering, model evaluation, red-teaming, and MLOps/LLMOps lifecycle management.

Design, build, and operate a scalable search control plane managing provisioning, configuration, upgrades, indexing, and retirement across Kubernetes, Kafka, Vespa, and OpenSearch. Own multi-tenant security, observability, SLOs, infrastructure as code, CI/CD, capacity planning, reliability, and incident response. Provide technical leadership, establish architectural standards, lead infrastructure initiatives, partner with client teams, and mentor engineers.

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.