Top AI Jobs in Toronto

The Director of Conversational AI Agents leads the development of AI solutions, manages a team, drives innovation, and engages with clients to enhance customer experiences.

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

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

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

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

As a Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Join as a Junior Software Engineer focusing on AI to build and enhance systems that improve workflows, interaction, and system performance.

As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will develop advanced Document AI models, solve complex modeling challenges, lead LLM fine-tuning, and provide leadership in a collaborative environment.

The role involves developing and deploying generative AI applications using Microsoft Azure AI stack, focusing on LLMs, agent-based workflows, and scalable AI infrastructure.

Design and implement end-to-end solutions for Generative AI applications, focusing on backend services and user-friendly frontend experiences while ensuring performance, security, and fault tolerance.

As an AI Engineer (Pre-Sales), you'll work with sales, design technical demos, manage POCs, and build AI solutions to meet customer needs.

Seeking a Senior Lead Research Scientist to conduct research and engineering in autonomous AI, develop benchmarks, publish studies, and implement safe learning loops for agents.

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

The Senior Product Manager will oversee AI solutions from R&D to production, ensuring user needs are met while collaborating across teams to deliver robust AI technologies.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

Lead Moneris' AI-driven product strategy, define roadmaps, collaborate with partners, evaluate technologies, and ensure scalable implementation across products.

As a Staff Product Designer, you'll shape AI-focused designs for HubSpot's product line, influence product strategy, and create prototypes that enhance customer experiences across various platforms.

As an Applied AI Engineer, you'll drive the development of AI-powered financial products, collaborating across teams to build and improve systems, optimizing generative AI applications, and contributing to foundational model applications.

The Director of Engineering, AI will lead AI initiatives, drive product strategy, manage engineering teams, and ensure effective technical execution in a fast-paced environment.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

The Revenue Operations & GTM Systems Manager will manage tools and processes across Sales, Marketing, and Customer Success, focusing on automation and operational excellence using AI.