Top AI Jobs in Toronto

The role involves leading the development of ML/AI systems, designing data pipelines, deploying ML models, and collaborating across teams to establish best practices.

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

The role involves leading product design for AI-driven buyer experiences, creating innovative design solutions, and collaborating with product and engineering teams.

Lead data science projects using Visa's datasets, developing models and ML pipelines to provide actionable insights, mentoring junior team members, and engaging with clients to solve data-driven challenges.

The Principal AI Platform Engineer will design and maintain infrastructure for GenAI products, ensuring seamless integration and high performance. Responsibilities include implementing security controls, observability solutions, and optimizing scalability.

Lead end-to-end embedded AI engagements: map workflows, define KPIs, build full-stack internal systems using LLMs and coding agents, iterate to drive adoption and measurable business impact, and create reusable templates and playbooks.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Senior AI Software Engineer will lead the development of AI-augmented applications, oversee full-stack development, define technical standards, integrate design and development processes, and mentor teams to enhance productivity.

As an Applied AI Engineer, you will design, develop, and deploy AI automation solutions, integrating LLMs into business workflows, and collaborating with stakeholders. Responsibilities include building reliable systems, supporting clients, and enhancing features.

The Associate Creative Director leads AI-driven design initiatives, collaborates with teams, and integrates advanced technologies to enhance creative workflows and outputs.

As a Senior Software Developer, you will build components for AI-powered travel booking platforms, focusing on both frontend and backend, utilizing tools like Angular, .NET Core, and MongoDB.

The AI Sales Specialist leads complex sales opportunities, mentors colleagues, develops strategic sales plans, builds relationships, and executes revenue strategies.

Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.

As a Principal Software Engineer, lead initiatives for the AI platform, manage Kubernetes environments, and develop infrastructure automation using Terraform. Collaborate with teams to design scalable solutions and ensure deployment compliance.

The AI Visual Artist & Creative Technologist collaborates with production teams to create high-end AI visuals, utilizing various AI tools and Adobe software, ensuring quality and innovation in visual storytelling.

The Workplace AI Specialist trains staff on AI tools, develops prototypes, conducts needs assessments, and supports AI integration across departments.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

The Senior AI/ML Scientist will research and develop cutting-edge AI technologies, particularly in LLM and Agentic AI, to enhance Vanguard's business operations and client experiences through innovative solutions.

The role involves executing control testing for Data Governance and AI Governance, providing risk and control advisory, performing assessments, and supporting governance efforts.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

The Senior AI/ML Research Engineer will conduct advanced AI research, develop algorithms, mentor juniors, and publish findings while collaborating across teams to create innovative AI solutions.

The role involves architecting and building commercial production systems for Generative AI applications, managing automation with intelligent agents, and ensuring engineering excellence in a collaborative environment.

The AI/ML Engineer will develop scalable AI/ML solutions, optimize ML models, manage deployment pipelines, and collaborate with cross-functional teams for responsible AI applications.

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