Top AI Jobs in Toronto

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

Develop and implement AI risk assessment and pricing frameworks by evaluating AI models, creating rating tables and pricing models, collaborating with underwriters, building Python-based analytical tools, and researching emerging AI risks and mitigation strategies.

Conduct research into AI model behavior and failure modes; design and build models, agents, and automated evaluation pipelines to assess AI risk; develop production-grade tooling for continuous monitoring and model testing; create novel risk metrics; collaborate with underwriting and actuarial teams to translate findings into pricing signals; prototype and deploy robust, well-tested systems while communicating results to technical and non-technical stakeholders.

Design, build, and maintain adversarial AI evaluation platforms and AI pipelines. Implement software engineering best practices for ML, integrate UI/UX, deploy on major cloud providers, and collaborate cross-functionally to improve model robustness and product infrastructure.

The Software Development Manager leads a full-stack engineering team to integrate AI capabilities into product experiences, focusing on frontend and backend development, team coaching, and ensuring quality delivery.

The Principal Product Manager will lead AI-native systems for pricing intelligence and financial integrity within the travel sector, collaborating with cross-functional teams to enhance revenue processing and model lifecycle management.

As Manager of Technical Staff, you'll lead a team to develop scalable AI models, stay updated on LLM research, and foster innovation.

Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The Senior AI Engineer will design and implement scalable AI-driven systems, manage full lifecycle AI services, and ensure ethical AI practices in a remote position.

The Director, AI-Enabled DevOps Transformation will drive sales and growth in strategic accounts, manage client relationships, develop account strategies, and lead complex engagements in SDLC modernization and AI-enabled delivery.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

The intern will research Physical AI, implement algorithms, write scientific papers, and analyze ML trends in AI. Collaboration with researchers is essential.

The Co-op Researcher in Web & AI will explore technologies for web rendering, develop proofs of concept, and assist in technical writing.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

As an Intern Researcher, you will develop AI agents powered by LLMs, prototype core capabilities, and explore new research directions while collaborating with experts.

The role involves designing and optimizing AI coding agents, integrating AI tools, and establishing evaluation systems for enhancing code generation accuracy.

The AI Engineer will design, develop, and deploy machine learning models, integrating them with applications while conducting experiments to improve performance.

The Senior AI Developer will lead the design and delivery of production AI systems, focusing on platform architecture, CI/CD, mentoring engineers, and driving technical vision within the team.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The Principal Software Engineer will lead the integration of AI with a focus on developing data orchestration solutions, modernizing legacy systems, and enhancing web infrastructure for optimal performance.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.