Top AI Jobs in Toronto

The Senior Consultant will deliver AI client engagements, focusing on LLM applications, GenAI pipelines, and advanced NLP solutions, while collaborating cross-functionally.

Lead the AI Platform team, define AI strategy, deliver AI capabilities, mentor engineers, and foster a culture of innovation and collaboration.

As an Associate AI/ML Developer, you'll build AI platforms, support AI pipelines, maintain AI/ML tools, and ensure model quality and monitoring while collaborating with teams on governance and security.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Develop features for modernization of SaaS applications, utilize AI tools to enhance development, manage the full SDLC, and collaborate in a high-performance team.

Design, ship, and scale production-grade AI systems, integrating LLMs with focus on reliability, safety, and performance. Collaborate across teams and mentor engineers.

Design, ship, and scale multi-agent systems, integrate LLMs and multimodal models, optimize AI workflows, and ensure production readiness in a hands-on engineering role.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

The AI Solutions Consultant role involves understanding insurance agency operations, creating solutions for enterprise clients, and supporting post-sale implementation, driving customer success and relationship management.

The Staff Mobile Engineer will lead the architecture and development of a new AI-focused mobile product, ensuring performance, offline capabilities, and mentoring the team. Responsibilities include optimizing AI/audio pipelines and delivering iterative improvements across the application.

As an AI Engineer Intern, you will design, build, and test AI-driven product features, working closely with engineers and product leaders to transform private markets through innovative technology.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

The Ecosystem Growth Manager will drive growth in the AIVM ecosystem by onboarding resource providers, attracting AI developers, and forming strategic partnerships, focusing on decentralized cloud infrastructure.

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, develop, and deploy scalable AI solutions including multi-agent workflows, integrate LLMs via APIs and microservices, build prototypes, perform prompt engineering, monitor model performance, mitigate hallucinations, and collaborate with data and engineering teams to align AI with business needs.

As Finance Manager, you'll oversee financial operations, lead FP&A, manage revenue projections, accounting, tax, and treasury for Calico's Canadian HQ, ensuring compliance and efficiency with U.S. operations.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

As a Staff Machine Learning Engineer, you will design scalable AI infrastructure, implement AI systems, lead technical decisions, and collaborate with teams to enhance AI/ML solutions.

As an AI Performance Architect, you will analyze and optimize AI workloads on Tensix architecture, linking architecture with software and hardware to enhance efficiency and scalability.