Top AI Jobs in Toronto

Lead design, development, and production deployment of AI/ML capabilities for a commercial real estate SaaS platform. Build LLM-powered features and custom models, establish AI standards and infrastructure, mentor engineers, drive applied research, and partner with product, data, and engineering teams to deliver scalable, responsible AI solutions.

As Revenue Operations Manager, you will enhance revenue generation through analytics, process design, and AI integration within the Travel Commercial organization.

Seeking a Software Development Manager to lead an AI-powered search team, focusing on technical leadership, team growth, and project management for legal AI solutions.

The AI Solution Engineer will design and implement AI solutions, develop workflows, collaborate with teams, and maintain AI systems to enhance decision-making and automation.

As a Staff AI/ML Engineer, you will design and build AI systems for consumer learning products, integrate foundation models, and ensure product quality through evaluation frameworks while collaborating with cross-functional teams.

The Product Manager will oversee the AI recommendations lifecycle, focusing on actionable data, governance workflows, and system strategy to enhance decision-making in enterprise planning.

Lead workflow automation and business transformation initiatives leveraging AI across Operations and Finance. Manage stakeholder relationships, map business processes, and implement AI-driven solutions.

As an AI Engineer, you'll design and implement AI solutions, drive multi-agent systems, and provide technical leadership on high-impact initiatives.

The Vice President, AI Engineer role focuses on leveraging advanced data analytics and AI technologies to provide insights, develop predictive models, and enhance decision-making processes for business improvements.

As a Senior Software Developer for AI Platform, you'll develop shared AI tooling, enhance developer productivity, build governance systems, and foster collaboration across teams with a focus on internal platform development and integration of AI technologies.

The role involves leading partnerships and negotiations with AI infrastructure providers and managing AI compute investments while optimizing resource allocation and financial models.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

As a Staff Machine Learning Engineer, you'll develop AI/ML models, conduct research, integrate solutions into production, and drive innovation in a collaborative environment.

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Senior Product Manager for the AI platform at Cority, you will oversee AI development, manage engineering collaboration, drive prototypes and experiments, and ensure project delivery in an agile environment.

The Full Stack Software Engineer will build and maintain internal tools and AI integrations, scale back-end services, and collaborate to enhance workflows.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

Lead strategy, delivery, and operations for Clio's Enterprise AI platform. Build roadmap, govern platforms and responsible AI standards, partner with cross-functional leaders, deliver AI workflows integrated with internal data, and hire and develop a scalable team while ensuring security, privacy, and measurable business impact.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

The AI Business Solution Architect at Lyft bridges Finance teams and engineering, translating business needs into technical requirements, driving AI transformations, and optimizing financial systems.

The role involves architecting and building Generative AI applications, developing production systems, and driving engineering best practices, with a focus on Python and container technologies.

The Senior Frontend Engineer will lead development of UI features using React and TypeScript, collaborate on API designs, and optimize performance in a data-intensive financial platform environment.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.