Top AI Jobs in Toronto

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

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.

Design and deploy ML solutions for video analytics. Build MLOps pipelines, collaborate on product features, and troubleshoot AI/ML issues.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

The Data & AI Solution Architect will design data and AI solutions, collaborate with teams, validate architectures, and present findings to stakeholders.

The AI Engineer will develop ML models for data analytics, focusing on Generative AI and neural networks, guiding teams and implementing solutions.

The AI Content Evaluator will review and annotate content based on structured guidelines to ensure quality and consistency in data annotation for AI models.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

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

Lead AI & Commerce Foundations for a B2B e-commerce platform: define platform architecture (auth, APIs, payments), integrate LLMs, prioritize partner-facing features, run zero-to-one product cycles, collaborate with engineers and data scientists, and use data and partner feedback to drive AI product decisions.

Lead global supplier acquisition and capacity planning across Asia, South America, and emerging markets. Source, vet, and onboard factories; build capacity strategy; manage cross-cultural relationships; integrate suppliers into Calico's platform; and represent the company on site and at industry events.

Lead design, build, and operation of internal AI systems and workflows that integrate with Clios data and tools. Deliver production-grade, observable, secure AI solutions, collaborate cross-functionally, uphold responsible AI standards, and provide technical mentorship and long-term operational ownership.

Design and build LLM inference stack, optimize performance and cost efficiency, and collaborate on model execution and infrastructure.

The Azure AI/ML Engineer will design and implement AI solutions on Azure, focusing on automation, security, and compliance in collaboration with various teams.

Design and implement Generative AI solutions for finance, develop chatbots, process data, and maintain AI models in production.

As a Senior Technical Program Manager II, you'll lead programs to implement conversational AI products, collaborating across various teams to ensure successful execution and process improvement.

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 AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

Responsible for developing and deploying AI/ML models, integrating systems, optimizing LLM performance, and implementing MLOps practices within GCP.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior Software Engineer will develop and maintain platform capabilities across mobile and backend systems, leveraging AI tools for enhanced productivity and code quality, while ensuring system reliability and security.

The Senior AI Applications Engineer provides post-deployment support for AI solutions, ensuring high performance and customer satisfaction through technical expertise and problem-solving.

As an AI Analyst, you'll research the AI landscape and create impactful content for CIOs, synthesizing complex information into persuasive narratives to help drive executive decisions.

As a Senior Data Platform Developer, you'll build and maintain Geotab's machine learning and generative AI platforms, ensure system health, and support data processing initiatives.