Top AI Jobs in Vancouver

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

Lead the management and optimization of corporate applications and AI systems, driving productivity and collaboration across global operations at Corinex.

Drive development of AI-powered features, modernize services, and build cloud solutions while mentoring junior staff and contributing to technical roadmaps.

As a Senior/Principal Machine Learning Engineer, you will design and develop generative AI models, lead technical vision, and mentor a team, focusing on AI-driven solutions for the AEC industry.

The SEO Specialist (AI Search) will optimize AI-generated content for SEO, leverage generative AI for eCommerce revenue growth, and enhance customer journeys through chatbots and analytics.

Lead design of AI features for Firefox, creating user-friendly experiences, collaborating with cross-functional teams, and evolving design systems. Focus on privacy and ethical AI practices.

The AI Engineer will lead the development of conversational AI systems, optimizing chatbot interactions, and integrating diverse data sources for enhanced user experience.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

The AI Automation Lead develops AI techniques for learning templates, trains GPT models, automates tasks, and collaborates with teams to enhance efficiency.

The Solutions Architect for AI/ML at Snowflake will advise clients on best practices for Data Science workloads, design solutions, and build ML pipelines. Responsibilities also include working hands-on with SQL and Python, maintaining technical expertise and collaborating with teams to improve products.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

As a senior backend engineer, design and develop APIs and data models for AI-driven marketing content, collaborating with product and design to enhance user experiences.

The AI Prototyping Engineer will create innovative browser experiences using AI technology, prototyping new products, and collaborating across teams to drive user engagement.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

Develop and maintain AI agent platforms, integrate LLMs, design workflows, and ensure compliance with privacy regulations while collaborating with cross-functional teams.

The Senior AI UX Designer will lead AI interaction design and research, advocate for user-centered AI design, and create intuitive interfaces for intelligent systems.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

The Director of AI GTM will lead AI integration in demand generation, develop and implement AI-driven programs, and ensure responsible AI adoption across marketing, sales, and customer success functions.

As AI Manager of Growth & Acquisition, you'll develop and scale AI-driven marketing strategies, improve conversion rates, and enhance pipeline growth through collaboration and experimentation.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.