Top AI Jobs in Vancouver

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

The AI Biz Ops Lead will manage operations, drive AI adoption, optimize business processes, and enhance compliance across Quandri's functions.

The Business Development Rep will manage sales pipelines, engage with technical audiences, track CRM metrics, and propose partnership strategies.

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

As an AI Strategist, guide organizations in adopting AI by translating business challenges into clear use cases, aligning with enterprise architecture, and influencing high-impact decisions across teams.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

Drive sales of AI/HPC data center hardware to enterprise, cloud, and research customers; develop sales strategies and manage relationships with OEMs and VARs.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

As an AI/ML Architect, you will define architecture for AI solutions, guide teams, mentor, and align initiatives with business goals, focusing on ethical practices.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.

As a Principal AI/ML Architect, you will lead ML assessments, provide architectural guidance, and advise on ML operations across diverse client engagements, ensuring technical quality and building customer confidence through high-quality proof of concepts.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.