Top AI Jobs in Toronto

Develop, test, and maintain GenAI/ML-based application components; implement new features, unit tests, and fixes; collaborate with stakeholders and tech partners; participate in code reviews, incident management, and continuous improvement; mentor team members and ensure solutions meet performance, security, and governance standards.

Lead AI risk assessments and governance for the model lifecycle. Ensure AI solutions meet enterprise policies and regulations, maintain risk registers, monitor controls, partner with Privacy/Security/Legal, drive remediation, and report AI risk posture to leadership while improving governance frameworks to enable responsible AI adoption.

Lead AI risk assessments and governance processes to ensure AI solutions meet enterprise policies and regulatory requirements. Monitor model lifecycle risks, maintain risk registers, coordinate remediation, and partner with Privacy, Security, Legal, and business teams. Develop reporting and improve AI governance frameworks to enable responsible innovation.

Drive adoption of AI governance by partnering with AI/product teams to embed requirements, run risk assessments and approvals, lead enablement and training, produce practical tools and templates, monitor governance adoption and maturity, and streamline governance processes to support responsible AI at scale.

Build and deploy production AI agents and MCP integrations for logistics workflows. Design multi-agent orchestration, implement LLM integration and retrieval pipelines (RAG/KAG/CAG), and deploy agent infrastructure on Kubernetes with observability and GitOps.

The Program Manager for AI Activation leads project managers in delivering AI initiatives, ensuring governance, financial tracking, and executive communication for program success.

Design, build, and support end-to-end loan servicing and commercial lending applications. Develop backend services, APIs, and user-facing frontends; modernize systems to cloud-native, microservices, and event-driven architectures; incorporate AI-assisted development and automation; ensure security, resiliency, observability, and production support while collaborating with product, architecture, and business teams.

The Senior AI Technology Strategy Expert will track AI developments, produce foresight reports, shape AI architectures, and collaborate on strategic initiatives.

The Principal Software Engineer will integrate AI frameworks with cloud infrastructure to enhance performance and reliability, develop prototypes, and collaborate closely with the product team to meet constraints and requirements.

Develop frameworks for serverless computing optimized for AI workloads, analyze AI system performance, and evaluate emerging technologies.

The intern will research Physical AI, implement algorithms, write scientific papers, and analyze ML trends in AI. Collaboration with researchers is essential.

The Senior Researcher will develop approaches in Embodied AI, work with generative AI and reinforcement learning, and contribute to top-tier research publications.

The intern researcher will focus on developing LLM models for virtual environments, publishing papers, and contributing to AI/ML research frameworks.

Lead design of foundational AI models, optimize training efficiency, analyze AI infrastructures, and collaborate with internal/external organizations to enhance algorithm performance.

The Senior Technical VP leads AI competitiveness planning, ensuring product performance and innovation in AI computing systems through hardware/software co-design.

As an Intern Researcher, you will develop AI agents powered by LLMs, prototype core capabilities, and explore new research directions while collaborating with experts.

Lead system-level optimization of open-source AI frameworks, focusing on LLMs and reinforcement learning. Drive innovations and collaborate across teams.

Lead the design and development of AI-driven multimodal interaction systems, focusing on user experience, system integration, and innovative interaction models.

Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.

The Co-op Researcher in Web & AI will explore technologies for web rendering, develop proofs of concept, and assist in technical writing.

Lead cutting-edge research combining AI and computational sciences. Collaborate on AI infrastructure, prototype solutions, mentor junior researchers, and publish impactful findings.

The Principal Architect will design foundational model architecture for AI, optimize hardware efficiency, and lead distributed training infrastructures.

Research emerging trends in AI-powered big data systems, develop proofs-of-concept, optimize performance, and collaborate on innovative solutions.

Lead the design and deployment of AI multi-agent systems on cloud platforms, integrate AI models, and collaborate with a global team.

The Technical VP for AI & Data Storage will define technology roadmaps, lead research advancements, and mentor engineers in evolving storage systems integrated with AI.