Top AI Jobs in Toronto

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

As a Senior AI Engineer, you will design LLM-powered AI systems, build RAG pipelines, solve complex information retrieval problems, and collaborate across teams for robust AI solutions.

The Senior AI Business Process Engineer will redesign business processes for automation, model BPMN and DMN, collaborate with stakeholders, and advocate AI adoption while ensuring alignment with data standards.

The Principal AI Architect will define AI strategy and enterprise architecture, designing scalable AI solutions and leading architectural decisions across the organization.

The role involves developing NLP solutions leveraging AI/ML techniques for healthcare, collaborating with various teams, and mentoring on advanced methods.

The AI Engineer will design, build, and optimize large language models, implement AI solutions for insurance, and manage stakeholder expectations.

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 Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

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.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

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

Seeking a Software Development Manager to lead an AI-powered search team, focusing on technical leadership, team growth, and project management for legal AI solutions.

The AI Enablement Specialist will drive the adoption of AI tools and platforms, providing technical training, developing proof-of-concepts, and managing AI enablement initiatives across departments.

The Software Engineer for the AI Platform will design and build foundational systems, integrate AI models, develop evaluation frameworks, and collaborate with product teams to enhance AI products at Harvey.

Lead strategy, delivery, and operations for Clio's Enterprise AI platform. Build roadmap, govern platforms and responsible AI standards, partner with cross-functional leaders, deliver AI workflows integrated with internal data, and hire and develop a scalable team while ensuring security, privacy, and measurable business impact.

As Revenue Operations Manager, you will enhance revenue generation through analytics, process design, and AI integration within the Travel Commercial organization.

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 Technical Consultant, you'll engage with enterprise clients, design AI-enhanced cloud architectures, implement solutions, and mentor teams, ensuring successful outcomes and innovation.

The Senior Director of Data, AI & Analytics leads market strategy and technical operations, driving growth and ensuring successful client integrations with Salesforce technologies. Responsibilities include shaping GTM strategies, overseeing industry accelerators, managing financial goals, mentoring staff, and ensuring operational excellence and innovation.

Manage the AI Outcomes Manager team to enhance customer adoption and value realization for AI solutions. Develop training, engage stakeholders, and improve product features based on user feedback.

The Senior Full Stack Developer designs and oversees AI product development processes, establishes technical standards, and manages vendor implementations to ensure security and scalability.

The AI Solution Engineer will design and implement AI solutions, develop workflows, collaborate with teams, and maintain AI systems to enhance decision-making and automation.

The role involves managing marketing programs, optimizing AI-driven workflows, and collaborating with cross-functional teams to achieve business goals.