Top AI Jobs in Toronto

The Senior Manager will develop guidelines, tools, and training for assurance professionals, focusing on high-quality engagements and adherence to standards, while also engaging in training, technical research, compliance support, and innovative technologies.

The Principal Product Manager, Audit AI will develop AI products for the financial audit process, engaging with customers and leading teams to create impactful solutions.

Lead the development of scalable AI solutions using Azure services and Python. Manage projects, optimize systems, and ensure code quality while collaborating with teams in a cloud-native environment.

Responsible for designing and optimizing evaluation frameworks for AI systems, collaborating with teams to ensure reliable and scalable solutions for banking applications.

The Applied AI Research Scientist will work on AI projects, enhancing capabilities in deep learning, NLP, and systems based on foundation models while collaborating with various teams and staying current with AI advancements.

The AI Automation Engineer will design, develop, and enhance automation solutions using AI and machine learning, primarily focused on improving business processes and operational efficiency.

The Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

The role requires leading AI agentic deployments, designing complex AI solutions, mentoring peers, and ensuring successful technical delivery for customers.

The Deployment Strategist leads the strategic implementation of AI-powered solutions, manages executive relationships, and oversees project deployments to ensure customer success within Salesforce.

The Senior AI Engineer will design, develop, and deploy AI solutions, mentor junior engineers, manage data pipelines, and ensure responsible AI practices.

As a Senior Consultant, you'll lead the adoption of generative AI solutions, manage product roadmaps, facilitate workshops, and contribute to responsible AI use across the organization.

Develop an AI Platform for efficient training and inference of large scale models, focusing on scheduling and resource management.

The role involves building AI inference systems, optimizing GPU performance, and developing benchmarking methodologies for large-scale deployments.

The AI Engineer will help develop and deploy AI solutions within the API and integration team, focusing on enhancing capabilities in financial domains using AWS technologies.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The AI Engineer will develop scalable AI systems, implement machine learning models, optimize data pipelines, and provide analytics consulting.

As a Principal AI Product Designer, you will lead design and research initiatives for AI-driven contract workflow solutions, focusing on user experience, prototyping, and collaboration with stakeholders.

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.

Build and maintain AI-driven web applications using various technologies, collaborate with teams, and develop insights from data analysis.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

As a Senior Experience Designer, you will research, design, and validate generative AI workflows for Autodesk's AEC applications, collaborating with cross-functional teams to innovate user experiences.

The AI Automation Lead develops AI techniques for learning templates, trains GPT models, automates tasks, and collaborates with teams to enhance efficiency.

The role involves researching and implementing physics-informed AI/ML algorithms, designing workflows, mentoring, and collaborating with researchers to advance simulation and design tools for Autodesk.

As an AI Software Engineer, design and develop AI-driven features for domain services using Python and Golang. Collaborate with stakeholders and utilize open-source models.

The role involves overseeing AI and automation initiatives, partner management, and reporting on initiative progress to leadership while driving program strategy and transformation.