Top AI Jobs in Toronto

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

Conduct qualitative and quantitative research, analyze user needs and behaviors, collaborate with teams, while advocating for user voice in product development.

The Business Development SME will drive market expansion, develop fundraising initiatives, and mentor teams, focusing on AI multilingual solutions.

The Content and Brand Strategy Intern will create engaging content, develop social media strategies, and collaborate with teams to enhance brand visibility.

The role involves developing social impact strategies, measuring outcomes, designing community programs, and collaborating with stakeholders to foster inclusivity and sustainability initiatives.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As a Senior Backend Engineer at GitLab, you'll design and optimize AI-driven backend features for CI processes, improve system reliability, and collaborate cross-functionally to enhance platform performance.

The Staff AI Engineer will design and implement AI workflows, mentor engineers, ensure compliance and scalability in production AI systems using tools like LangGraph and LangFuse.

The role involves testing AI models and software, generating data, developing testing frameworks, and collaborating with internal and external partners on automotive technologies.

The Sr. Engineer will develop AI tools for system engineering, support R&D teams with technology evaluations, and coordinate R&D programs.

The Sr. Principal Engineer will design, implement, and maintain data pipelines, ensuring data integrity and optimizing performance while collaborating with cross-functional teams.

The Lead Product Marketing Manager, AI will lead the market strategy for GitLab's AI capabilities, focusing on product positioning, go-to-market execution, and supporting AI tool adoption across the software development lifecycle.

Lead the implementation of AI agent workflows, conduct architectural reviews, design production systems, and optimize platform performance at Acquia.

As the Director, Solutions Architect, you will lead technical engagements for Agent Suite, designing compliant, scalable AI architectures and ensuring seamless deployment with clients.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

Manage the Solutions Operations team focused on digital payments and Agentic AI, ensuring security and optimal performance.

The AI Engineer designs and operationalizes intelligent systems for data extraction, collaborates with teams to establish AI standards, and delivers AI-driven solutions to improve business metrics.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

As a Senior Producer, lead advertising production projects, oversee teams, manage budgets, and ensure creative vision is executed effectively across various media formats.

Drive sales of AI/HPC data center hardware to enterprise and cloud customers, leveraging existing networks and expertise to close deals and advise on solutions.

The AI Enablement Lead will drive AI adoption across the company, build AI agents and automations, and enhance teams' capabilities with AI tools while tracking adoption and productivity metrics.

The Generative AI Developer will design, deploy, and manage generative AI systems in an enterprise setting, collaborating with engineers and architects to ensure solutions are scalable, secure, and compliant with governance standards.

The Forward Deployed AI Engineer designs and implements AI solutions for clients, ensuring customer satisfaction and delivering technical support while managing stakeholder relationships.

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.