Top AI Jobs in Vancouver

Perform monthly commodity analyses for grains and vegetable oils using supply/demand data and market forecasts; build and manage market intelligence databases; develop and improve constraint-optimization price models and long-range forecasts; support CPRM hedging and coverage strategy decisions; track team KPIs and deliver insights to inform pricing and risk management.

Lead a team of Machine Learning Engineers and Data Scientists to design and deliver ML systems at Remitly. Collaborate across domains to implement MLOps best practices and contribute to AI strategy.

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.

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.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

As a Software Engineer II, you'll develop generative AI applications, enhance sales operations through AI tools, and collaborate with engineering teams on a remote basis.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

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 Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

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

Lead end-to-end design for AI-powered developer tools at GitLab. Create flows, wireframes, prototypes, and high-fidelity interfaces for AI agents, chat, and code-assist features. Define success metrics, iterate with PMs and engineers, establish AI-specific design patterns in the design system, mentor other designers, and contribute to product strategy and research-informed decisions.

Design and implement AI systems for team-based sports gameplay in Unreal Engine 5, focusing on decision-making and player behavior optimization, while mentoring other engineers.

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

The Senior Research Analyst manages research projects, analyzes complex data sets, communicates findings, and prepares reports while ensuring quality control throughout the project lifecycle.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Lead vision, strategy, and execution for Motives AI camera hardware and firmware. Drive NPIs, prioritize firmware features, write technical PRDs, coordinate cross-functional teams, measure device and AI performance, and enable go-to-market readiness for large-scale connected video devices.

Lead design, development, and deployment of enterprise AI agents and multi-agent systems. Architect scalable, secure AI/data systems, integrate vector DBs, embeddings, RAG, and cloud MLOps, drive automation/APIs, mentor engineers, set KPIs, and ensure observability, ethical AI, and production readiness.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.