Top AI Jobs in Toronto

The AI Content Coordinator will manage the lifecycle of AI-support content, including creation, optimization, and cross-department collaboration. Responsibilities include validating AI responses, identifying content gaps, and improving chatbot performance.

The Revenue Operations Manager will drive data-informed decisions, enhance forecasting and pipeline management, and optimize processes using advanced analytics and AI initiatives.

The role involves managing marketing programs, optimizing AI-driven workflows, and collaborating with cross-functional teams to achieve business goals.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Experience Design Architect will lead the development of AI-powered experiences, drive strategy, mentor designers, and influence stakeholders across organizations.

As a Full-Stack Software Developer, you will work on generative AI tools for the AEC industry, enhancing workflows and collaborating with cross-functional teams.

The Senior Director is a leader in Gartner's BTI group, creating insights on digital workplace AI tools, guiding clients with market research, and mentoring junior analysts.

As an AI Product Manager, you'll own the AI product roadmap, prioritize customer feedback, partner with engineering, and drive data-informed decisions to enhance product quality.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Lead technical design and implementation projects for generative AI, mentor engineers, and ensure scalable backend systems for AI solutions.

As a Technical Product Manager, you will lead the development of AI-driven products, coordinate cross-department teams, and ensure product success through stakeholder alignment and data-informed decision-making.

The Senior Product Manager will lead AI contract intelligence solutions, driving product vision, adoption metrics, and cross-functional collaboration to enhance customer value.

Seeking a Principal Product Manager to build agentic AI systems, focusing on customer outcomes and product lifecycle management, collaborating with engineering and design teams.

The Senior Full Stack Developer will design and implement software solutions focused on AI features, collaborate with product teams, and optimize data analysis for personalized mobile app experiences.

The Senior Manager will lead the analytics function for revenue strategy, embedding AI insights and overseeing GTM analytics for better decision-making.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

Seeking a Senior AI/ML Engineer to design and develop AI-native systems using Generative AI and multi-agent frameworks for real-time networking solutions. Responsibilities include modeling agent behaviors, developing LLM-driven agents, building ML models, and collaborating on AI projects.

Develop full stack solutions for GenAI applications, optimizing backend services and creating user-friendly interfaces while mentoring junior developers.

The Marketing AI Engineer will build and deploy AI assistants to enhance marketing operations, automate campaigns, and ensure brand consistency through intelligent data use.

Lead the development and architecture of voice biometric systems and conversational AI agents, ensuring secure and sophisticated interactions.

As a Senior Product Engineer, you'll develop AI-driven software, manage full-stack development, optimize performance, and collaborate across functions to enhance workflows for accounting professionals.

As a Staff Software Engineer - AI, you'll lead the development of AI systems, mentor engineers, drive innovation, and ensure excellence in AI solutions.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.