Top AI Jobs in Toronto

The Major Account Manager will drive sales for 10-15 enterprise accounts, utilizing consultative selling to present Arista's value proposition and collaborate with technology partners.

This role oversees Third-Party Risk Management and Operational Resilience, ensuring effective risk governance and regulatory compliance for TMX's financial services. It includes managing risk assessment processes, leading teams, and advising on regulatory matters while fostering cross-functional collaboration.

The AI Engineer will design and implement production-ready LLM systems, optimize for cost and latency, and collaborate across teams while demonstrating strong ownership and independent execution.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Machine Learning/AI Tech Lead at PureFacts will guide ML and AI engineers, oversee product vision, and drive automation, model development, and cross-functional collaboration to enhance client outcomes.

The AI Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

The AI Engineering Lead will spearhead AI-powered solutions for fraud detection in insurance, oversee system architecture, mentor engineers, and ensure fair AI practices in fraud mitigation.

Lead the development of an AI-powered customer experience and internal platform at Jerry.ai, focusing on automation and scalability of customer support and operations.

Lead the development of AI-powered customer experience and internal platform at Jerry.ai, focusing on automation, product metrics, and partnership with engineering and OpenAI.

Design and enhance CIAM authentication features, automate tests, and improve CI/CD pipelines while collaborating across teams to enhance software reliability.

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.

The Intermediate AI-Enabled DevOps Engineer will build and support cloud infrastructure, enhance CI/CD pipelines, automate operational tasks, and collaborate with teams to improve reliability and performance.

The AI Engineer will develop AI applications, focusing on LLMs and agent frameworks, optimizing workflows through automation, and integrating AI solutions into PureFacts' SaaS platform.

The AI/ML Engineer will develop and optimize machine learning models, focusing on conversational systems, multi-agent solutions, and scalability, while collaborating across teams to enhance user experiences.

As an AI Engineer, you'll design and deliver agentic systems that integrate Large Language Models to enhance business workflows and operational efficiency, providing hands-on technical leadership and creating enterprise-grade AI solutions.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

The Senior Researcher will develop Physical AI research, focusing on robotic models and multimodal learning while collaborating on experiments and publications.

The Senior Principal Researcher will lead AI research initiatives, mentor teams, translate research into scalable systems, and represent Huawei in the global AI community.

Design and develop AI agents using large language models, optimize multi-agent systems, and integrate these agents into real-world tools and systems.

The Software Engineer will design, implement, and deliver scalable AI platform features, including backend services and tooling for AI agents using Python and Kubernetes.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

The Design Engineer will develop logic design and RTL coding for SoC design, integrate IP blocks, and ensure design verification. Collaborate on architecture features and perform quality checks while addressing security practices.

The Chief of Staff will partner with the Managing Director of AI, leading AI transformation initiatives, designing automated processes, and ensuring successful client engagement and organizational rollouts.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.