Top AI Jobs in Toronto

Design and deploy AI agents and automation tools to remove manual work across Sales, Marketing, and Operations. Identify and rebuild high-friction workflows, develop internal tools, structure data and decision systems, prototype AI solutions, and partner with leadership to translate business problems into technical systems.

Conduct qualitative and quantitative research, analyze user needs and behaviors, collaborate with teams, while advocating for user voice in product development.

The role involves developing social impact strategies, measuring outcomes, designing community programs, and collaborating with stakeholders to foster inclusivity and sustainability initiatives.

Senior AI/ML Engineer develops and deploys machine learning models and scalable data pipelines for production. Performs data discovery and quality analysis, builds and optimizes model pipelines, implements model monitoring, partners with data science teams, applies advanced statistical and data mining techniques, and contributes to SDLC and cross-functional initiatives.

As an Associate AI/ML Developer, you'll build AI platforms, support AI pipelines, maintain AI/ML tools, and ensure model quality and monitoring while collaborating with teams on governance and security.

Join TD SYNNEX as an AI Engineering Intern, collaborating on AI projects with data scientists and developers, designing and implementing AI solutions, and gaining invaluable hands-on experience.

The Business Development SME will drive market expansion, develop fundraising initiatives, and mentor teams, focusing on AI multilingual solutions.

The Content and Brand Strategy Intern will create engaging content, develop social media strategies, and collaborate with teams to enhance brand visibility.

The Deployment Strategist leads the strategic implementation of AI-powered solutions, manages executive relationships, and oversees project deployments to ensure customer success within Salesforce.

The role requires leading AI agentic deployments, designing complex AI solutions, mentoring peers, and ensuring successful technical delivery for customers.

The Sr. Product Manager will lead the development of AI-driven solutions for financial services, focusing on enhancing customer support efficiency and user experience through collaboration and product strategy.

The Director will lead AI data integration, oversee product lifecycle, ensure data governance, drive product market fit, and manage cross-functional teams. Responsible for scaling AI solutions and ensuring compliance.

As a Principal AI Product Designer, you will lead design and research initiatives for AI-driven contract workflow solutions, focusing on user experience, prototyping, and collaboration with stakeholders.

The Principal AI Product Designer will lead design initiatives in Document Intelligence AI, create prototypes, conduct user research, and deliver innovative user-centered solutions.

As a Senior Audit Manager, you will lead audits focused on Data Governance and AI, guide auditors, and enhance audit practices through data analytics.

The role involves supporting AI risk management practices, conducting assessments, collaborating with teams, and ensuring compliance with governance requirements at CIBC.

Develop an AI Platform for efficient training and inference of large scale models, focusing on scheduling and resource management.

Lead the development and support of data and AI products, translating business requirements, directing technical designs, and mentoring teams.

The Data Engineer will develop and manage ETL data pipelines, deploy and manage ML models, and automate processes while collaborating with data scientists and IT teams.

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.

The Associate AI DevOps Engineer designs data architectures, manages data securely, implements cloud platforms, and builds data pipelines. Responsible for optimizations and analytics for operational improvements.

Lead delivery of Customer Data & AI projects: define architectures, collaborate with cross-functional teams, manage technical execution, set KPIs, support proposals, and ensure client alignment while integrating responsible AI practices.

The Product Specialist drives market success for Workday's products, engaging executives in sales strategy and adoption of AI platform technologies. Responsibilities include managing sales cycles, driving demand, and cultivating partner relationships.

Lead design and delivery of end-to-end AI solutions (especially NLP/LLM) from exploration through deployment and monitoring. Translate stakeholder needs to technical solutions in AWS, mentor junior staff, enforce data science best practices, and use analytics to identify risks, opportunities, and improvements.

As an Applied AI Engineer, you will architect AI systems for enterprise coaching, develop LLM components, and enhance user experiences through data-driven insights.