Top AI Jobs in Toronto

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

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Drive sales of AI and HPC data center hardware to enterprise and cloud customers, leveraging established relationships and technical expertise.

The Senior Technical Artist will design AI-driven workflows and tools for game creation, collaborate on multi-platform projects, and integrate artistic assets with AI capabilities.

Build and qualify pipeline across enterprises, research labs, and startups; manage outreach sequences and CRM; re-engage sign-ups; coordinate discovery and partner calls; attend events; propose GTM experiments; collaborate with DevRel and founders to drive deals and partnerships.

Lead the development of high-performance ML platforms, guide the software lifecycle, and collaborate with teams to drive innovation in Generative AI and networking solutions.

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.

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.

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.

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.

Lead and scale Google Marketing Platform capabilities while providing technical leadership, team development, commercial ownership, and fostering cross-functional collaboration to drive business growth.

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 Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

The role involves partnering with customers, designing and deploying AI agents, optimizing workflows, and ensuring successful implementations while focusing on customer satisfaction.

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

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 role involves full stack development for GenAI applications, focusing on building scalable solutions, optimizing backend services, and enhancing UI experiences using modern frameworks.

As an AI Integration Developer, you'll design and maintain backend architectures, manage integrations, and ensure security and compliance in a high-stakes medical environment.

Join Brookfield's AI Infrastructure Fund to analyze investments, conduct due diligence, and manage assets while collaborating across teams and fostering a dynamic culture.

As an AI Processor IP Product Engineer, you'll facilitate customer integration of AI processors into SoCs, ensuring performance and market readiness. Responsibilities include technical support and debugging complex systems.

Design and prototype AI-assisted product solutions and user flows for monetization in the gaming industry. Validate ideas through user testing and analytics while collaborating with product and engineering teams.

The Associate AI Enablement Developer drives AI adoption at Euna Solutions by leading automation initiatives, training users, and collaborating across teams to enhance operational efficiency.