Top AI Jobs in Toronto

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

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.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

Lead the development of AI agents, focus on LLM training and evaluation, architect the agentic platform backend, and provide technical leadership across teams.

As a Principal Software Engineer, enhance our AI-driven contract management platform, collaborating with cross-functional teams to build scalable solutions and mentor teammates.

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

As a Senior Frontend Engineer, you'll collaborate with design and engineering teams to develop shared component libraries and design systems, ensuring high-quality user interfaces and adherence to design specifications.

The Principal Software Development Engineer will lead the development of manufacturing data model solutions, collaborating with teams globally to optimize product workflows through data extraction and AI integration, ensuring high-quality delivery.

As a Sr. AI Scientist, you will provide analytics solutions using machine learning and natural language processing, mentor team members, and collaborate across departments to apply AI for business solutions.

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.

The Senior AI Research Scientist will advance AI research, develop algorithms, analyze data, and collaborate on business optimization for Vanguard's AI initiatives.

Conduct innovative AI research focused on Large Language Models and Responsible AI, collaborating with teams to develop algorithms and solutions for business challenges.

The Product Manager will lead AI platform initiatives, define integration strategies for AI agents, and engage with customers to enhance user experiences.

The Supply Operations Manager will oversee the performance and capacity of Calico's global factory network, utilizing data analysis to optimize sourcing strategies and maintain compliance across suppliers.

The Product Group Technology Lead for AI4DM is responsible for developing and managing AI solutions for Data Management, focusing on automating processes and enhancing governance across data systems.

The Senior Manager of Research Engineering will lead AI solutions delivery, manage software development teams, and coach engineers while promoting innovation and collaboration.

The role involves building .NET services integrated with Azure OpenAI, designing AI workflows, developing observability metrics, and mentoring teammates.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

The role involves leading AI-driven solutions for business optimization, championing change, collaborating with teams, and enhancing decision-making through data analysis and automation initiatives.

The Design Engineer will develop logic design and RTL coding for SoC design, integrate IP blocks, and ensure design verification. Collaborate on architecture features and perform quality checks while addressing security practices.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

The AI Engineer will develop intelligent systems by prototyping and deploying AI features, integrating LLMs, and exploring SLMs for efficient deployment.

The AI Enablement Content Producer will create visual materials to support AI adoption, including presentations, playbooks, and reports, collaborating across teams to ensure clarity and engagement.

The Senior Software Developer will drive AI innovations, enhance system efficiency, and develop AI-driven applications using Microsoft technologies. Responsibilities include collaborating with stakeholders and ensuring compliance with security standards.