Top AI Jobs in Toronto

Lead the design and implementation of AI-driven tax automation workflows, focusing on document intelligence and machine learning optimizations while ensuring compliance and quality.

As a Senior AI Engineer, you'll design and optimize AI-driven tax workflows and document intelligence, leveraging ML/AI technologies for automation and accuracy.

As a Staff Software Engineer - AI, you will lead the development of AI-driven software solutions, mentor team members, and collaborate on technical strategies, driving innovation across legal, tax, and compliance solutions.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

The Senior Data Engineer will design and expand data infrastructure, create data pipelines, and integrate diverse data sources while mentoring junior engineers and collaborating with teams on scalable data solutions.

Lead the development of scalable AI solutions at CPP Investments, ensuring technical excellence, operational readiness, and responsible AI adoption while mentoring teams and collaborating with stakeholders.

The Senior Backend Engineer will develop 3D AutoReview features, manage pipeline architecture, collaborate with teams, and maintain high technical standards in backend development.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

The Account Executive will drive customer acquisition in the AI-native sector, manage the sales cycle, create a scalable sales playbook, and collaborate cross-functionally to establish Metronome as a leading billing infrastructure.

Lead the vision and execution of the AI Agents Platform, integrating AI into customer experiences while defining product strategy and requirements. Collaborate across teams to enhance user experience and drive product success.

Lead the design and development of AI features, architect scalable systems, evaluate technologies, build prototypes, and collaborate with teams to meet business needs.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

As an Applied AI Scientist, you'll develop and deploy AI models, collaborate with cross-functional teams, and analyze metrics to support business goals.

Lead the development of an AI-driven reliability assistant, focusing on LLM engineering and AI agent development to enhance incident response for engineers.

Lead the development of AI agents, focus on LLM training and evaluation, architect the agentic platform backend, and provide technical leadership across teams.

As a Product Manager for Platform Intelligence, you will lead the AI/ML strategy for the Accelerant Risk Exchange, collaborating across teams to enhance decision-making tools for specialty insurance risk management.

The Senior Backend Engineer will design, implement, and manage scalable AI services and workflows, utilizing Java or Python within a Kubernetes environment while ensuring high availability and integration with various AI solutions.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

As an AI Product Intern, you'll design, develop, and deploy AI-powered software, working closely with teams to solve real-world problems and improve applications based on user feedback.

As an AI/ML Engineer Intern, contribute to designing and deploying machine learning systems, automate workflows, build data pipelines, and collaborate with experienced teams to solve high-impact problems.

As an AI Strategist, guide organizations in adopting AI by translating business challenges into clear use cases, aligning with enterprise architecture, and influencing high-impact decisions across teams.

As a Senior Software Engineer, you'll design and implement the Agentic AI Platform, working on AI agents, backend services, and orchestration of multi-agent workflows.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.