Top AI Jobs in Toronto

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The Associate AI Engineer will develop, deploy, and maintain AI solutions for business processes in the Long-Term Care program, collaborating with teams to turn ideas into production-ready AI solutions.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.

The AI Scientist will design, develop, evaluate, and deploy AI systems in cardiovascular care, supporting workflows and improving patient outcomes.

Lead the design and development of AI services, managing technical teams to create enterprise-wide Generative AI platforms and solutions.

The role leads generative AI engineering and large language model strategy, focusing on deployment, application design, and enterprise knowledge enablement while optimizing workflows and governance.

The Chief Scientist will lead advancements in Physical AI by developing robotic foundation models and integrating feedback into scalable systems. Responsibilities include designing experiments, collaborating on research outputs, and ensuring system coherence across robotics applications.

As an AI Developer II, you will deliver AI and machine learning solutions, work on complex projects, and evolve software products, while collaborating with multidisciplinary teams.

The Senior Inference Engineer will optimize and scale AI workloads, improve model performance, and integrate AI models into production APIs while collaborating with various teams.

Design and validate high-speed interconnects for AI systems, defining requirements and performing reliability testing for copper and optical technologies.

The Senior People Systems & AI Specialist designs AI-driven workflows in HR, enhancing processes like recruitment and payroll through intelligent automation. They prioritize initiatives, collaborate across departments, and ensure AI integrations comply with security and privacy standards.

As a Senior AI Full-Stack Engineer, you'll design and build AI-driven cloud-native applications, integration of AI frameworks, and define architectural patterns, ensuring solutions meet high standards for security and compliance.

The Program Manager, AI Activation oversees AI initiatives, ensuring effective governance, financial tracking, and delivery excellence while managing Project Managers.

The role involves researching and developing advanced networking technologies for AI infrastructure and cloud data systems at Huawei, focusing on performance and innovation.

As an AI Engineer, you'll develop AI solutions for business challenges, integrate AI capabilities, and manage the MLOps lifecycle using Google Cloud Platform tools.

The Program Manager for AI Activation leads project managers in delivering AI initiatives, ensuring governance, financial tracking, and executive communication for program success.

The Business Development Rep will manage sales pipelines, engage with technical audiences, track CRM metrics, and propose partnership strategies.

The AI Lead Architect defines, governs, and evolves the AI platform, translating business needs into scalable solutions while ensuring compliance and operational readiness.

Design and implement complex agentic workflows, ensuring reliable integration with the Guidewire ecosystem, while mentoring engineers and enhancing innovation in AI applications.

The Staff AI Developer will shape architecture, build systems for a SaaS application, and implement AI features while collaborating with various teams.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

Lead design and implementation of a next-generation data layer for agentic AI: architect hybrid Snowflake/Kinetica/NoSQL environments, define multi-tenant schemas and knowledge graphs, oversee DBA/governance and performance engineering, establish ETL/ELT (CDC/streaming/batch) patterns, and serve as the primary technical client liaison.

As a Senior Software Engineer, you'll build a core platform for agent-native operations, focusing on design, reliability, and safety in AI systems while collaborating with cross-functional teams to implement impactful workflows.