Top AI Jobs in Toronto

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

As Staff Product Manager for the AI Platform, you'll define the vision and roadmap, establish execution methods, and collaborate across teams to ensure safe and efficient AI operations in a scalable enterprise platform.

Design and implement AI-driven tools to improve workflows across teams. Collaborate to identify internal problems AI can solve, and prototype solutions quickly.

As a Staff Software Engineer AI-Native, you will build and evolve AI-native engineering workflows, design high-quality APIs, and collaborate with international teams to deliver reliable services while mentoring others.

The Director of AI Enablement will lead AI transformation across GlobalMeet, focusing on embedding AI capabilities into products, operationalizing AI coding environments, and mentoring teams to enhance AI fluency and innovation.

As a Senior AI Full Stack Developer, you will build and deploy AI-powered tools, integrate APIs, optimize workflows, and collaborate across teams to enhance cybersecurity practices.

The role involves creating narrative-driven video content using AI tools, managing end-to-end production workflows, and ensuring visual coherence across projects.

Lead and scale AI/ML teams, ensuring high-quality product delivery while shaping technical direction and fostering team development.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.

The Lead Software Engineer, AI will drive AI innovation, lead model development, provide technical leadership, and ensure production quality in AI systems.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

The Senior Engineer is responsible for building AI observability capabilities, ensuring AI systems are reliable and continuously improving, while working with cloud and data engineering teams.

As a Staff Software Engineer at Juniper Square, you'll lead an engineering team, drive technical strategies for document intelligence, and oversee AI integration and pipeline architecture.

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

As a Founding Account Executive, you will drive the sales cycle, generate leads, become a product expert, and expand customer accounts, all while serving as a trusted advisor on voice AI solutions.

The AI Solutions Engineer will guide the AI strategy and architecture, develop scalable solutions, enable citizen developers, and evaluate impact in sales performance across the organization.

The Director of AI Analytics will lead the analytics function, supporting various departments by transforming data into actionable insights and AI-enabled workflows, while ensuring data integrity and governance.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.

Design, build, operate, and scale production-grade AI orchestration systems (RAG, agents, pipelines). Implement evaluation, observability, MLOps, and secure microservices; collaborate cross-functionally and mentor engineers.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

The AVP, Lead AI Engineer will architect and deliver production LLM systems, oversee a team of engineers, and ensure high performance coding in AI applications.

The Product Manager will oversee the global content lifecycle, implementing a self-service content management platform using Adobe Experience Manager and integrating AI capabilities.

The Staff Design Verification Engineer will ensure quality and reliability of digital designs through verification methodologies, defining strategies, and leading teams in validating complex designs.

Lead design, development, and production deployment of AI/ML capabilities for a commercial real estate SaaS platform. Build LLM-powered features and custom models, establish AI standards and infrastructure, mentor engineers, drive applied research, and partner with product, data, and engineering teams to deliver scalable, responsible AI solutions.