Top AI Jobs in Vancouver

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.

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

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

As a Staff Machine Learning Engineer, you'll develop AI/ML models, conduct research, integrate solutions into production, and drive innovation in a collaborative environment.

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

The Solutions Architect for AI Infrastructure at NVIDIA will define, deploy, and manage large-scale GPU systems, providing technical support and guidance to customers throughout the entire project lifecycle.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.