Top AI Jobs in Toronto

Develop full stack solutions for GenAI applications, optimizing backend services and creating user-friendly interfaces while mentoring junior developers.

As a Machine Learning Engineer, you will design and deploy AI Agent solutions, focusing on practical challenges and collaborating with cross-functional teams to scale and innovate AI systems.

As a Manager, Product - AI, you will lead product management for AI tools, collaborate with teams to define AI vision, drive product strategy and metrics, and mentor a multidisciplinary team.

Lead a team of AI Engineers to develop AI Orchestration for healthcare solutions, ensuring delivery, agile processes, and collaboration with various teams.

Lead a team to design and develop AI/ML solutions, define the platform roadmap, ensure project delivery, and foster a culture of engineering excellence.

As a Senior/Principal Machine Learning Engineer, you will design and develop generative AI models, lead technical vision, and mentor a team, focusing on AI-driven solutions for the AEC industry.

The Senior AI Engineer will drive innovation and implement cloud capabilities, building GenAI solutions for contact centers while mentoring junior engineers.

As a Senior Machine Learning Engineer, you will manage the full ML lifecycle, translate business needs into solutions, and build recommendation systems while collaborating with cross-functional teams.

The Director Analyst will create and advise on research for clients, providing insights, predictions, and actionable advice in AI and Cybersecurity while supporting sales.

The AI Support Engineer manages IT infrastructure, provides support to users, automates processes, and ensures security compliance while managing device and user productivity tools.

The Director of AI Technical Marketing drives AI marketing strategies, aligns with product initiatives, develops technical narratives, and manages partnership ecosystems.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Solutions Architect for AI/ML at Snowflake will advise clients on best practices for Data Science workloads, design solutions, and build ML pipelines. Responsibilities also include working hands-on with SQL and Python, maintaining technical expertise and collaborating with teams to improve products.

The AI Creative Technologist will bridge AI developments and social content, creating compelling materials, training internal teams, and advising clients on effective AI use.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.

The role involves leading the design and implementation of AI capabilities within Salesforce, including model integration, automation, and collaboration with various teams to enhance customer engagement and sales processes.

The Lead Research Engineer develops AI methodologies, delivers high-quality solutions, leads teams, and engages in cross-functional collaboration in a dynamic environment.

As an AI/ML Solutions Architect, you will design scalable AI/ML architectures, engage with customers, and create thought leadership content to drive AI/ML adoption.

Lead AI engineering to design and implement advanced AI solutions, mentor a team, and ensure scalable deployment of AI models and applications.

As a Staff Software Engineer, you will define technical vision, lead software development, mentor engineers, and ensure operational excellence for AI-driven applications.

The Associate will optimize AI outputs, create marketing materials, design workflows, manage projects in Jira, and deliver training on AI applications.

The AI Integration Engineer will design, deploy, and scale AI solutions, ensuring integration with business platforms while collaborating cross-functionally and maintaining technical documentation.