Top AI Jobs in Toronto

The Senior Specialist in Product Management will lead market analysis, support planning for Security Solutions, and collaborate with cross-functional teams to enhance product performance and customer satisfaction.

Design, develop, and deploy scalable LLM-based solutions (RAG, agentic workflows, PEFT). Lead architecture, implement cloud and DevOps best practices (AWS, Azure, Databricks, Terraform, Docker, Kubernetes), build prompt/response guardrails, collaborate cross-functionally, and manage full SDLC and production deployments.

As an Applied Scientist, you will push the limits of AI/ML in home valuation, tackling diverse ML challenges and optimizing decision-making with data.

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.

Lead end-to-end ML lifecycle for enterprise NLP and generative AI systems: prototype, fine-tune, deploy, and scale LLM/NLP solutions on GPU-backed Kubernetes cloud infrastructure while ensuring observability, CI/CD, performance, and cost efficiency.

Manage the Solutions Operations team focused on digital payments and Agentic AI, ensuring security and optimal performance.

The AI Engineer designs and operationalizes intelligent systems for data extraction, collaborates with teams to establish AI standards, and delivers AI-driven solutions to improve business metrics.

The App/AI Engineer will develop AI-enabled data applications for R&D, focusing on scalable data systems, code optimization, and collaboration with stakeholders.

Design, build, and maintain scalable data pipelines and ML model enablement at petabyte scale. Partner with data scientists to productionize features and models, ensure secure data governance, automate distributed workflows, implement testing/monitoring, and support incident response and performance tuning for fraud and identity risk systems.

Design, develop, and maintain scalable .NET and React applications and secure RESTful APIs. Implement authentication/authorization (JWT, OAuth2), containerize with Docker, contribute to CI/CD, code reviews, and documentation, and responsibly use AI-assisted development tools to improve productivity and quality.

Lead global data governance policy implementation and partner with segment governance teams to maintain standards, monitor KPIs, identify risks, and deliver analytics-driven insights and executive updates to support decision-making and compliance.

Lead controllership for Capital Markets: advise stakeholders on new products/systems, perform complex accounting investigations, ensure IFRS-compliant financial reporting, drive analytics and automation projects (Alteryx, RPA, AI), and implement continuous process improvements and controls.

As an Artificial Intelligence Student, you will implement AI projects, develop solutions, evaluate initiatives, and support team members in AI-related tasks.

Design and develop Large Language Model-based applications within Pharma R&D, focusing on client collaboration and technical excellence while ensuring production readiness and performance optimization.

The Principal of Solution Engineering leads pre-sales efforts, designs digital healthcare experiences using League's platform, and collaborates across teams to deliver AI-driven solutions while ensuring compliance with security policies.

As a Business Development Representative, you'll help drive new enterprise customer growth by strategizing outreach and qualifying prospects while promoting Docebo's AI-driven learning solutions.

The Audit Manager II oversees audits related to financial crimes, manages a team, conducts risk assessments, and ensures regulatory compliance while enhancing operational performance.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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.

As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

The Director, Fundamental Credit Risk conducts credit risk assessments for debt investments, partners with investment teams, and enhances credit monitoring practices using analytics and AI.

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.

Lead and grow an engineering team for a large-scale SaaS product, providing hands-on technical leadership, code reviews, and architecture guidance. Collaborate with Product and Design to set roadmaps, contribute to implementation, hire and coach engineers, and support career development and team performance. Foster a feedback culture and adapt processes and technology, especially around AI.

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.