Top AI Jobs in Vancouver

The Customer Success Manager engages with enterprise customers, ensuring retention, adoption, and technical value of cybersecurity solutions through proactive management and technical guidance.

Build and scale Samsara's AI platform, oversee AI system lifecycles, and collaborate on integrating AI solutions into business workflows.

The Research Review Specialist will support timely reviews of funding applications, maintain reviewer profiles, and assist in quality assurance reviews. Requires PhD level research experience, particularly in AI, along with strong communication skills and critical thinking.

This role involves driving AI adoption at Coinbase by developing AI automation solutions, collaborating with teams, and managing prototypes to enhance efficiency and ROI.

Manage and optimize digital customer success programs throughout the customer lifecycle, focusing on onboarding, activation, and adoption. Lead campaign strategy and execution, use analytics for performance improvement, and collaborate cross-functionally to enhance customer outcomes.

The Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

The Staff AI Engineer will design and implement AI workflows, mentor engineers, ensure compliance and scalability in production AI systems using tools like LangGraph and LangFuse.

As a Senior Account Manager, you will drive AI transformation for enterprise clients by managing relationships, developing strategic plans, and leading negotiations to achieve revenue targets.

Lead the implementation of AI agent workflows, conduct architectural reviews, design production systems, and optimize platform performance at Acquia.

The Staff Software Engineer will lead AI-driven initiatives, building systems for advertising, content creation, data modeling, and SEO that enhance real estate agents' market presence.

As a Lead Sales Engineer, you will oversee technical sales for East Coast clients, communicating product benefits, conducting needs assessments, and fostering customer relationships while collaborating with sales teams.

The role involves designing AI-enabled workflows for Finance, coordinating data requests, leading AI initiatives, and building community practice within Finance.

The role involves designing AI workflows for Finance, coordinating data requests, leading AI community initiatives, and driving adoption of AI solutions, ensuring effective collaboration with stakeholders.

As a Software Development Engineer on the AI Core team, you'll design, build, and operate software systems for AI applications, collaborate with machine learning engineers, and ensure compliance with enterprise standards.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The Applied AI Developer designs, develops, and maintains AI tools, focusing on practical applications, governance, and organizational training to enhance business operations.

Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.

The intern researcher will optimize AI systems, develop solutions for training and inference, and improve performance on the Ascend platform, focusing on multimodal and reinforcement learning strategies.

The role involves conducting research on AI security, designing LLM approaches for malware classification, and building scalable data pipelines.

The Researcher will optimize AI computing systems focusing on training/inference performance and efficiency, working on advanced AI application scenarios.