Top AI Jobs in Toronto

As a Staff Software Engineer - AI, you'll lead the development of AI systems, mentor engineers, drive innovation, and ensure excellence in AI solutions.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

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

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

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

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

Lead design of AI features for Firefox, creating user-friendly experiences, collaborating with cross-functional teams, and evolving design systems. Focus on privacy and ethical AI practices.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

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

The Staff Software Engineer, AI will architect and build AI-powered applications using .NET and Azure services, ensuring end-to-end solution quality while mentoring engineers and collaborating with cross-functional teams.

The AI Engineer will design and maintain agent systems for AskGP, enhance AI workflows, and improve system reliability and performance.

The role involves developing and implementing AI/ML solutions for investment applications, analyzing data, and collaborating with investment teams to enhance decision-making through AI-driven insights.

As a Sovereign AI Intern, you'll design and improve large-scale models, develop training techniques, and collaborate with product teams while gaining insights from experienced staff.

Develop and maintain scalable systems, collaborate with teams to deliver features related to identity and security, and contribute to observability and alerting systems.

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

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.

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

The Sr. AI Engineer will deploy and manage machine learning models, integrate AI with BI systems, and transform data into actionable business insights, impacting strategic decisions.

Design and implement generative AI solutions for content creation, ensuring integration with CMS and marketing tools while managing data pipelines.

The Full Stack Developer will create scalable applications, manage backend services in Python, design frontend with React, deploy on Azure, and integrate AI workflows.

The Chief of Staff will partner with the Managing Director of AI to design AI-enabled processes, lead AI transformations, and ensure effective client engagement and organizational growth.

The Associate Creative Director leads AI-driven design initiatives, collaborates with teams, and integrates advanced technologies to enhance creative workflows and outputs.

The Principal AI Platform Engineer will design and maintain infrastructure for GenAI products, ensuring seamless integration and high performance. Responsibilities include implementing security controls, observability solutions, and optimizing scalability.

Design and build AI-powered features for legal document drafting, manage backend and frontend development, collaborate cross-functionally, and ensure product quality and delivery.

The Staff Software Engineer - AI will architect, implement, and optimize AI-driven systems, mentor engineers, and collaborate with cross-functional teams to enhance workflows.