Top AI Jobs in Toronto

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

As an AI Product Manager, you will lead the product development for AI-driven features, collaborating with engineers and designers to optimize user experiences and ensure alignment with business objectives.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Design, develop, and deploy machine learning models, collaborate with teams to integrate AI, optimize performance, and build data pipelines.

Lead Internal Audit Analytics & AI strategy; integrate analytics and AI across the audit lifecycle; develop scalable analytics, automation and responsible AI solutions; manage and mentor an analytics team; provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools; partner with audit and business stakeholders and present insights to senior management.

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

Participants will learn to design intelligent AI workflows and automation tools using modern AI technologies and publish their own projects within eight weeks.

The program offers hands-on exposure to AI workflow automation and enterprise AI systems through real-time projects and collaborative activities. It aims to build practical experience in AI automation concepts and workflow design.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

Design, implement, operate and support on-prem and cloud-based RPA and agentic AI automation platforms. Lead production support, perform code reviews, translate business requirements into designs and code, manage integrations, enforce security and SDLC standards, and evangelize operational best practices across the organization.

Lead product and application development, design scalable microservices-based architectures, integrate AI-powered developer tools, collaborate with product and design, champion agile practices, and drive technical innovation across full-stack teams to deliver high-quality software.

Lead and code a multi-tenant agentic AI platform: build full-stack components with Python/Angular, implement agent frameworks and MCP servers, develop advanced RAG and vector/graph integrations, design prompts and intents, and work as a forward-deployed engineer with SMEs to deliver production AI solutions.

Manage and grow a small ML/GenAI engineering team while remaining hands-on: design and implement GenAI systems (agents, RAG, tool use), build NLP solutions (NER, classification, retrieval, summarization), partner with PMs and engineers to scope and ship features, and coach engineers on technical and career growth.

Lead a Services AI Platform engineering team as a hands-on technical lead, building and scaling multi-tenant agentic ecosystems, custom fine-tuning pipelines, and advanced RAG architectures. Implement strict MCP-based architecture, integrate graph and vector databases (e.g., Neo4j, pgvector), develop prompt/intent engineering, and partner with SMEs and frontend teams to deploy production-grade AI solutions.

The Engineering Manager will drive operational excellence, guide technical execution, coach engineers, foster collaboration, and integrate AI-assisted development practices.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

Drive applied AI for R&D by analyzing structured and unstructured data, developing representation, reinforcement, and generative learning methods, implementing ML and optimization algorithms, building reproducible workflows and toolkits, and collaborating with scientists and engineers to improve modeling, simulation, and research efficiency for quantum-computing R&D.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The Sr. Software Engineer will develop AI compiler technologies, optimizing models for Tenstorrent hardware, and engage in collaborative problem-solving with a focus on open-source contributions.

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.

Lead design and production of next-generation search and personalization systems using LLMs, dense vector retrieval, GNNs, multi-stage ranking, and reinforcement learning. Drive GPU-based deployment (e.g., Triton), ensure <100ms latency, mentor applied scientists and MLEs, and partner cross-functionally to productionize scalable, reliable search and recommendation experiences.

The Lead Data AI Architect leads the design and implementation of secure data and AI architectures, guiding teams on best practices and managing compliance with business strategies and technical standards.

Business Development Manager responsible for expanding AI consulting services across North America. The role sources and qualifies prospects, builds pipelines, conducts outbound outreach, coordinates discovery, negotiates with clients, and closes new business with leadership support. Candidates need 5+ years of sales or business development experience in consulting or technology services, strong independent prospecting skills, and willingness to travel approximately 40% for events and client meetings.