Top AI Jobs in Toronto

Lead development of AI tools for systems engineering, define specifications and test scenarios, evaluate new technologies for R&D, support project planning and coordination, prototype and validate components, and collaborate across engineering and external partners to advance automotive AI and system solutions.

Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Work as an AI-focused intern to develop, train, validate, and deploy machine learning and computer-vision models (YOLO, Python, OpenCV, TensorFlow/PyTorch) for production-floor systems. Collaborate with cross-functional teams to gather requirements, monitor and improve model performance, document methods, report progress, and provide training and support for AI initiatives.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

The role involves leading as a thought leader in technology operations and AI implementation, mentoring executives, advising on technology strategies, and producing actionable insights for clients.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

The Manager of Visual Design for Agent Suite will lead visual expressions and storytelling for Mastercard's AI products, ensuring brand integrity and driving successful outcomes through innovative design practices.

Lead AI-native engineering teams to design, build, test, and deploy large-scale, data-oriented, customer-facing applications using Generative AI, LLMs, and agentic patterns. Define engineering vision and AI-native SDLC, partner with product, leverage data technologies (e.g., Databricks), mentor talent, and drive 0→1 prototypes to production with strong backend (Java/Python) and frontend (React/Next.js) engineering.

Lead architecture and productionalization of AI-native, large-scale, data-oriented product concepts. Design scalable solutions, implement AI systems with observability and cost optimization, establish responsible AI practices, and coach engineering teams across the product development lifecycle.

Manage a cross-functional engineering team building GitLab Duo Chat's AI-powered features. Define requirements with product and UX, contribute to architecture for scalable agentic AI, drive delivery and roadmap execution, improve testing, observability, performance, and coach engineers to foster an inclusive, high-performing team.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Serve as the primary HR contact for Levitate’s Ontario team: manage onboarding/offboarding, HRIS records (BambooHR), benefits enrollment, employee relations, policy updates, manager guidance, and training while ensuring compliance with Ontario employment law.

Lead AI product portfolio for operations use cases: own prioritization, roadmap, and reusable AI assets; translate stakeholder needs into product briefs and success criteria; communicate with stakeholders and partner with leadership to report progress and ROI.

Lead end-to-end design for AI-powered developer tools at GitLab. Create flows, wireframes, prototypes, and high-fidelity interfaces for AI agents, chat, and code-assist features. Define success metrics, iterate with PMs and engineers, establish AI-specific design patterns in the design system, mentor other designers, and contribute to product strategy and research-informed decisions.

The AI Engineer will design and enhance scalable AI services, collaborating with a team across the development lifecycle, while maintaining high code quality and system reliability.

Conduct qualitative and quantitative research, analyze user needs and behaviors, collaborate with teams, while advocating for user voice in product development.

The Business Development SME will drive market expansion, develop fundraising initiatives, and mentor teams, focusing on AI multilingual solutions.

The Content and Brand Strategy Intern will create engaging content, develop social media strategies, and collaborate with teams to enhance brand visibility.

The role involves developing social impact strategies, measuring outcomes, designing community programs, and collaborating with stakeholders to foster inclusivity and sustainability initiatives.

Design, operate, and improve on-premises MLOps infrastructure to productionize, deploy, monitor, and optimize ML models. Troubleshoot across the stack (Linux, Docker, Kubernetes), refine CI/CD workflows, integrate training/validation testing, and collaborate with data scientists and engineers to ensure reliability and performance at scale.

Build and launch user-facing Desktop and Mobile Web features using React/Redux. Own projects end-to-end from prototyping and A/B testing to architecture, scaling, and automated testing. Collaborate with product, design, and backend teams, mentor engineers, lead code reviews, and apply AI thoughtfully to accelerate workflows while validating outputs and protecting sensitive data.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.