Top Tech Jobs & Startup Jobs in Toronto

Own key areas of the CoCounsel application experience from problem definition through delivery. Shape product strategy and roadmap, improve UX and performance, drive adoption and retention, and lead initiatives such as personalization and collaboration. Partner with product, engineering, customer-facing, legal, IT, security, and operations stakeholders to translate customer needs into experiments, requirements, and measurable outcomes. Develop repeatable UI patterns and documentation while supporting commercial and customer success teams.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, leads AI-native feature development, integrates LLMs and generative AI, improves Micro Front End scalability and latency, mentors global engineering teams, manages technical risk, and translates business needs into technical solutions. Requires extensive software engineering experience, modern web technologies, cloud platforms, AI/ML integration, enterprise SaaS experience, and advanced education.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, designs AI-native features, integrates LLMs, optimizes Micro Front Ends, mentors engineering leaders, manages technical risk, and translates business needs into scalable solutions. Requires extensive software engineering experience, modern web and cloud technologies, agentic AI expertise, enterprise SaaS experience, and the ability to lead complex initiatives.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Leads architecture and delivery of complex, business-critical software systems. Modernizes legacy platforms, designs distributed services, APIs, event-driven architectures, and large-scale data-processing systems, while improving reliability, scalability, security, and observability. Sets technical direction across teams, establishes engineering standards, mentors senior engineers, and partners with product and architecture leadership to connect technical investments to business outcomes.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.

Leads and develops senior engineering teams delivering production AI solutions for tax, audit, and accounting clients. Owns hiring, staffing, capacity planning, client delivery, technical architecture, AI quality controls, risk mitigation, operating costs, and client outcomes. Oversees LLM applications using RAG, agents, integrations, evaluation frameworks, and observability. Partners with business, product, consulting, and platform leaders to improve engineering effectiveness, manage escalations, and align capacity with demand.

Build and deliver enterprise integrations connecting AI solutions with tax and audit products, ERP systems, document platforms, and data warehouses. Develop document-processing, retrieval, embedding, and vector-search pipelines; enable AI agents through APIs and MCP; and establish data validation and quality controls. Implement secure authentication, testing, monitoring, deployment patterns, and operational runbooks. Partner with clients and cross-functional engineering, platform, consulting, and reliability teams to deliver reusable, production-ready solutions.

Build and deploy secure, production AI applications for tax and audit professionals, including RAG pipelines, custom agents, and agentic workflows. Develop scalable Python backend services, integrate with client and Thomson Reuters systems, and establish evaluation, observability, monitoring, and testing practices. Lead client delivery, translate ambiguous business needs into technical solutions, support deployments and incidents, and collaborate with AI engineers and senior technical leaders across multiple engagements.

Build and deploy reliable AI automations for tax and audit professionals. Responsibilities include understanding client workflows, designing controlled AI solutions, creating prompts and agents, developing prototypes with Python and low-code tools, validating accuracy through expert datasets and test harnesses, demonstrating solutions to clients, and collaborating with domain, editorial, product, and engineering teams. The role requires substantial tax or audit experience, professional judgment, and the ability to translate complex workflows into practical AI applications.