Top AI Jobs in Toronto

The Staff Software Engineer will develop maintainable code, lead system architecture, mentor others, and drive technical initiatives within the AI Platform team.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

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

As an Applications Developer specializing in AI, you'll build and maintain applications that enhance compliance and legal workflows, utilizing AI/ML solutions and integrations with various enterprise systems.

As a Senior Analyst, you'll enhance Digital and AI strategy, assess market opportunities, create business cases, and collaborate on digital banking platforms.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

As an AI/ML Engineer, you will design and implement agentic systems, develop multi-agent workflows, and collaborate with senior engineers to optimize AI techniques.

Design and deliver scalable machine learning infrastructure and pipelines for AI/ML models, ensuring data integrity and collaborating across teams.

Lead Software Engineer responsible for developing user-facing features for the CoCounsel chat application and delivering end-to-end technical solutions. Strong emphasis on backend engineering and team collaboration is required.

As an AI Performance Architect, you will analyze and optimize AI workloads on Tensix architecture, linking architecture with software and hardware to enhance efficiency and scalability.

Lead the design, development, and deployment of scalable AI solutions for CPP Investments, ensuring technical excellence and responsible AI practices while collaborating with cross-functional teams.

The Lead Engineer for AI & Emerging Tech will drive AI solutions development, mentor engineers, and oversee project delivery while leading agile engineering sprints and collaborating with cross-functional teams.

Manage AI implementation within Service Experience team, train CSRs, analyze data to improve customer support processes and efficiency, and lead transformational change.

The role involves designing and building AI-integrated features for the Unity Editor, enhancing collaboration between creators and AI agents while managing API development and system architecture improvements.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

The AI Software Engineer Intern will contribute to building AI products and intelligent agents, implement autonomous systems, and assist in rapid prototyping of AI solutions.

Lead a team responsible for AI document generation solutions, overseeing the software lifecycle and collaborating cross-functionally to innovate and maintain quality.

Lead AI projects from conception to deployment, optimizing AI performance and delivering scalable ML solutions. Mentor team members and influence technical strategy.

Lead development of Chorus AI, an agentic AI platform, by designing scalable systems, ensuring performance, and collaborating across teams while mentoring juniors.

As an AI Solution Engineer, you will build AI-powered automation workflows, collaborate with cross-functional teams, and support Azure services to enhance corporate operations.

The Product Manager will automate GTM workflows, optimize tool integration, improve processes, enable sales through product solutions, and collaborate cross-functionally to enhance productivity.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Lead Software Engineer will develop AI-driven backend services, ensuring scalability and performance while collaborating across teams to enhance accounting workflows with intelligent solutions.