Top AI Jobs in Toronto

As a Lead Sales Engineer, you will oversee technical sales for East Coast clients, communicating product benefits, conducting needs assessments, and fostering customer relationships while collaborating with sales teams.

Sales Specialist responsible for leading Data Center and Routing network sales, building pipeline, collaborating with Account Managers, and establishing consultative relationships with enterprise clients.

The Process & AI Change Manager leads change management for AI-enabled initiatives, focusing on Microsoft Copilot adoption. Responsibilities include delivering change activities, stakeholder facilitation, risk management, and providing leadership on AI adoption practices.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

The AI Specialist will integrate AI technologies into R&D processes, develop automation tools, collaborate with researchers, and maintain high-quality production code.

As an AI Specialist, you will drive AI initiatives using machine learning techniques, analyze R&D data, develop algorithms, and collaborate with teams to enhance research tools for quantum computing.

The role involves leading projects in AEC data modeling and machine learning, mentoring junior engineers, and collaborating to enhance design workflows.

As an AI/ML Product Manager at Versapay, you'll manage products that leverage machine learning solutions, drive change, and enhance customer experience across platforms from ideation to implementation.

Lead AI/ML initiatives focusing on solution delivery and business development. Responsibilities include project management, client engagement, and mentoring teams.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

The AI Full Stack Developer will design and build AI applications using modern technologies, developing prototypes and production-ready systems while collaborating with various teams to leverage AI capabilities and enhance performance.

The Sr. Staff Engineer will verify AI/HPC systems, develop test strategies, and create complex verification environments, collaborating on SoC methodologies.

The Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

The Staff Platform Engineer will design and implement scalable infrastructure for AI applications in manufacturing while ensuring reliability, operability, and cross-team collaboration.

As an AI Engineer, you will develop and deploy computer vision models, monitor their performance, own AI projects, and collaborate cross-functionally.

The Senior Software Engineer, Voice AI will design and implement complex systems for emergency response communications, oversee AI integrations, and provide technical mentorship.

The Elastic AI Engineer will design agentic workflows, integrate AI models with tools, manage deployment, and ensure data security while leveraging the Elastic Stack for enterprise solutions.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

As a Staff Forward Deployed Engineer, you'll bridge technical gaps between large models and clients, ensuring successful deployments in drug discovery and simulations.

Define strategy for ASICs and co-packaged optics platforms, lead integrated system development, and collaborate with customers for AI network solutions.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Lead AI strategy and execution, implementing customer automation, refining data governance, and driving engagement through AI-driven experiences.