Top AI Jobs in Toronto

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

The AI Solutions Architect leads AI integration, designs scalable solutions, defines architecture strategies, collaborates with stakeholders, and enforces governance across AI projects.

Lead the integration of AI solutions in software development, managing agile teams, and collaborating cross-functionally to ensure rapid delivery of innovative products.

The Lead Product Designer will define AI-native features and design systems for human-agent collaboration, focusing on interaction models, workflows, and user experiences. Responsibilities include prototyping, mentoring, and contributing to product strategy and design systems.

As an Intermediate Software Engineer specializing in AI, you'll design and build AI-driven features, integrate models, and collaborate on intelligent solutions.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

As a Senior Backend Engineer II, you'll build cloud services for connected devices, leveraging AI in development workflows, and ensure reliable backend systems.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Lead Forge Secure AI engagements, develop methodologies, mentor experts, manage customer interactions, and scale delivery while building the FFDE practice.

The role involves ensuring the performance of AI agents in production, defining success metrics with clients, and debugging issues.

Lead the AI Platform team, define AI strategy, deliver AI capabilities, mentor engineers, and foster a culture of innovation and collaboration.

Equifax seeks an AI Engineer to develop, debug, and maintain scalable AI applications, focusing on backend logic and Agile innovation practices, while collaborating with cross-functional teams and addressing performance issues.

The Staff Mobile Engineer will lead the architecture and development of a new AI-focused mobile product, ensuring performance, offline capabilities, and mentoring the team. Responsibilities include optimizing AI/audio pipelines and delivering iterative improvements across the application.

As a Senior Solution Engineer, you'll guide prospects in understanding AI solutions, conduct technical assessments, lead demos, and build relationships with stakeholders, focusing on customer experience transformations.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

As a Senior Software Engineer, you'll work with large-scale LLM serving, improve performance on NVIDIA's inference stack, and collaborate with customers on benchmarking and optimization.

The Python Developer will create Gen AI solutions, collaborate in Agile teams, write maintainable code, manage project delivery, and ensure compliance with standards.

As a Principal Architect, you will lead the design and implementation of AI and data solutions, ensuring alignment with business strategy and guiding large-scale transformations in architecture and governance.

The Principal Architect will shape AI and data platforms, define architecture strategies, lead implementations, establish governance, and mentor teams across the organization.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

The Director will lead insights in Research and Development, advise on strategies, analyze market trends, and create impactful content for Gartner clients.

The Head of Applied AI will lead the AI team, manage architectural initiatives, foster a productive environment, and ensure the delivery of AI features that meet customer needs.