Top AI Jobs in Vancouver

As an AI Implementation Engineer, you will drive the adoption of AI tools, collaborating across teams to build infrastructure, evaluate tools, and develop best practices for AI implementation in a biotech context.

The role involves producing 35+ performance marketing videos monthly, collaborating with various teams, managing the video production pipeline, and optimizing creative content based on data insights.

The Principal Product Manager will define the vision and strategy for the Elastic Agent Builder, working with customers and teams to develop AI agent capabilities and product roadmaps.

Develop and support backend systems for CoLab's 3D AutoReview features, integrating machine learning concepts while collaborating across teams. Solve complex math challenges in 3D design analysis.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

Life360 seeks a Senior Software Engineer to enhance AI-native mobile development tools. The role focuses on maintaining infrastructure for continuous testing and quality automation, collaborating with teams to improve product development, and applying AI insights for efficient workflows.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.

The Director of Performance Marketing will lead paid marketing strategy, focus on AI integration, manage a high-performing team, and ensure alignment with business objectives.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

The AI Developer role focuses on transforming customer support with AI tools, enhancing efficiency, response times, and customer experience through solutions like chatbots and workflow automation.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Lead Conversational AI Developer responsible for developing chatbots and virtual assistants, integrating AI technologies, and improving user interactions through data analysis and software development.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

The Applied AI Engineer will prototype AI solutions by building proofs-of-concept, integrating various AI tools, and collaborate with research and backend teams to refine and deploy AI memory solutions.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

The Senior AI Solutions Engineer will architect and deploy AI systems on Google Cloud, collaborating with clients and delivery teams to create enterprise-ready solutions.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.