Top AI Jobs in Toronto

As an AI Consultant at Glia, you will drive customer adoption of AI features, provide pre-sales consultancy, analyze performance metrics, and collaborate across teams to ensure successful AI implementations that enhance customer experience.

The Engineering Manager will lead the development of a scalable Search Platform, mentor teams, manage business outcomes, and enhance engineering efficiency while ensuring high-quality software delivery.

The role involves producing 35+ performance marketing videos monthly, collaborating with various teams, managing the video production pipeline, and optimizing creative content based on data insights.

The Principal Product Manager will define the vision and strategy for the Elastic Agent Builder, working with customers and teams to develop AI agent capabilities and product roadmaps.

The Product Manager for the AI/ML Platform will lead product strategy, prioritize backlogs, manage vendors, and ensure successful adoption of AI platforms across the organization.

The AI Risk Officer Manager oversees information technology risks, develops risk management frameworks, and ensures compliance with regulations. They act as a trusted advisor, recommend action plans, and coordinate stakeholder communication to enhance risk management practices across the organization.

The Growth Web Engineer is responsible for managing the website operations, creating personalized web experiences, integrating AI tools, and ensuring stable and scalable digital marketing operations.

As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.

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.

The AI Product Manager will lead the development of AI-powered applications, collaborating with engineers and designers to align AI technologies with user needs and business objectives.

As an AI Product Manager, you will lead the product development for AI-driven features, collaborating with engineers and designers to optimize user experiences and ensure alignment with business objectives.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

Research new style Network Filesystem storage, develop metadata management service, perform system testing, and drive root cause identification in storage environment. Participate in team meetings and report progress.

The researcher will develop and evaluate AI/ML models, prototype innovative solutions, and collaborate to enhance product capabilities for smart devices.

The Principal AI Engineer will lead AI solution design, development, and implementation, focusing on generative AI and LLMs while collaborating with business leaders to drive innovation and ensure compliance.

The role involves managing the AEC Generative AI program, coordinating cross-functional teams, ensuring project delivery, and defining launch criteria for AI features.

Develop and support backend systems for CoLab's 3D AutoReview features, integrating machine learning concepts while collaborating across teams. Solve complex math challenges in 3D design analysis.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

Lead AI-driven transformations in gaming, providing engineering direction, building scalable systems, and managing technical strategy while mentoring teams.

The Solutions Architect for AI Infrastructure at NVIDIA will define, deploy, and manage large-scale GPU systems, providing technical support and guidance to customers throughout the entire project lifecycle.

Life360 seeks a Senior Software Engineer to enhance AI-native mobile development tools. The role focuses on maintaining infrastructure for continuous testing and quality automation, collaborating with teams to improve product development, and applying AI insights for efficient workflows.

As a BizOps Analyst, you'll redesign workflows, improve processes, implement tools, and enhance operational efficiency while collaborating with various teams.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.