Top AI Jobs in Toronto

Research AI threats, analyze threat actor behavior, produce actionable intelligence, collaborate with teams, and publish findings in the cybersecurity domain.

The AI Solutions Manager leads client engagements focused on AI and automation, managing project lifecycles, optimizing internal processes, and integrating AI tools. They also provide training and performance monitoring.

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.

The AI Data Expert will review and evaluate AI-generated outputs and textual content, ensuring cultural relevance and quality. Responsibilities include content analysis, assessing multimedia materials, and providing structured annotations while adhering to detailed guidelines. Native fluency in French and strong English skills are essential, with previous experience in AI evaluation preferred.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

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 Senior Consultant will optimize processes and drive digital transformation using Lean Six Sigma methodologies, automation, and AI solutions. Responsibilities include leading assessments, redesigning processes, prioritizing automation opportunities, and managing project activities to deliver measurable improvements to business operations.

Build next generation internal AI coding tools to enhance Stripe's engineering productivity. Collaborate across teams and represent customer experiences effectively.

The Staff Software Engineer will lead the design and delivery of AI-driven backend systems, influencing technical strategy, driving cross-team initiatives, and mentoring engineers.

Manage the product vision and strategy for eBay's Seller Experience, focusing on inventory listing processes. Collaborate with teams to drive product development and improve seller experiences through data and user insights.

Design and develop scalable backend services and APIs for an AI-powered platform, focusing on system architecture and mentoring junior engineers.

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.

The Senior AI/ML Scientist will research and develop cutting-edge AI technologies, particularly in LLM and Agentic AI, to enhance Vanguard's business operations and client experiences through innovative solutions.

The role involves developing and deploying Generative AI systems, mentoring junior engineers, and ensuring engineering excellence in a hands-on capacity.

Design and implement Generative AI solutions for finance, develop chatbots, process data, and maintain AI models in production.

The AI-Native Marketing Manager will oversee LinkedIn programs, customer advocacy, brand social media, and digital marketing initiatives while leveraging AI for efficiencies.

The Associate Data Developer will build and maintain data pipelines, collaborate on data architecture, optimize processes, and ensure data quality and performance.

As a Data Developer, you'll build and optimize data pipelines, collaborate with cross-functional teams, support data architecture, and ensure data quality along with mentoring on best practices.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

As an AI Product Engineer at Puzzle Cats, you will develop and enhance AI-driven mobile game experiences, collaborating across teams to rapidly prototype, ship, and iterate on features that can quickly reach millions of players.

The AI Engineer will design and develop enterprise-grade AI solutions, focusing on multi-agent workflows, integrating LLMs, and establishing observability for AI systems.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

The Product Manager will oversee AI capabilities development within Caseware, shaping priorities, requiring technical fluency, and ensuring quality through evaluation frameworks and collaboration with domain experts.

Lead Java AI Developer responsible for application systems analysis and programming, enhancing risk management systems, and guiding mid-level developers. Requires in-depth Java and AI tool expertise.

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.