Top AI Jobs in Toronto

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Regional Sales Manager leads revenue strategy for AI Native across Western US, managing a team of 8 Account Executives, and driving regional performance, pipeline generation, and strategic growth.

Lead AI initiatives, design experiments, improve developer productivity, integrate AI into workflows, and mentor junior team members. Require 8+ years of experience with AI/ML systems.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The VP of Sales will lead enterprise sales teams, drive revenue growth, develop strategies for navigating complex deals, and enhance sales processes and forecasting accuracy.

Looking for a Staff AI Productivity Engineer to enhance the effectiveness of AI coding tools within engineering. Responsibilities include building infrastructure, integrations, and documentation to improve AI productivity across the codebase.

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.

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

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

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.

The AI Forward Operational Enablement Specialist designs and maintains training content for both human teams and AI systems to enhance operational efficiency. Responsibilities include content development, stakeholder collaboration, and evaluation of training effectiveness.

As an AI Developer, you will support AI initiatives, conduct experiments, build tools, document results, and research AI topics, collaborating with senior team members.

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

Lead the AI Scale High-Speed Coherent Pluggable Program for Supply Assurance by optimizing supply outputs, managing production ramp-up, and ensuring data-driven decision-making across teams.

Lead the design and deployment of intelligent agent systems, working with customers to tailor workflows and integrate APIs, ensuring scalability and performance.

As a Staff ML Research Engineer, you will architect and optimize ML models for drug discovery while ensuring technical excellence throughout the product lifecycle.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

The AI Program Manager & Developer leads AI initiatives, focusing on development, governance, adoption, and integration within Services and Support, while ensuring measurable business impact and compliance with AI standards.

The Product Designer will drive product design, engage in user research, create design deliverables, and collaborate closely with teams to shape innovative enterprise products.

The Senior Product Manager will define and execute initiatives for agentic AI systems, overseeing their lifecycle and collaborating with teams to ensure successful deployment and customer satisfaction.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.