Top AI Jobs in Vancouver

The Revenue Operations & GTM Systems Manager will manage tools and processes across Sales, Marketing, and Customer Success, focusing on automation and operational excellence using AI.

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

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.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

As an AI Research Engineer, you'll conduct applied research in computer vision, prototype ML techniques, and collaborate with cross-functional teams to deliver innovative features that enhance professional photography workflows.

Work across the full stack to build an AI platform and Agent product for healthcare. Ship production code quickly, shape architecture, and collaborate with Jane teams while maintaining strong security and privacy practices for sensitive health data.

The role involves designing, building, and maintaining cloud infrastructure for AI/ML workloads, collaborating with stakeholders, and developing AI solutions using various technologies.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

You will be responsible for sourcing exceptional AI talent from consulting firms and universities, building pipelines, assessing candidates, and engaging top performers to join Human Agency.

Build and maintain scalable backend services and APIs, optimize system performance, collaborate with stakeholders, and improve AI 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.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

Lead sales efforts for AI solutions at Labelbox, developing relationships with top AI labs and Fortune 500 companies, managing the sales cycle and ensuring client satisfaction.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The Experience Design Architect will lead the development of AI-powered experiences, drive strategy, mentor designers, and influence stakeholders across organizations.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

Design and deploy ML solutions for video analytics. Build MLOps pipelines, collaborate on product features, and troubleshoot AI/ML issues.

Manage and grow full stack engineering teams focused on data visualization and business semantics, overseeing recruitment and development of talent, implementing strategies, managing technical debt, and ensuring high-quality software delivery.

The Director of AI will lead the integration of AI solutions, guide clients through implementations, design scalable AI applications, and define best practices within a cross-functional team.

Provide research and advisory to finance leaders on transforming controllership, AP/AR and financial close using AI and automation. Produce published research, advise on vendor selection, present to clients, and stay current on accounting technology and finance transformation trends.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.