Top AI Jobs in Vancouver

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 role involves leading as a thought leader in technology operations and AI implementation, mentoring executives, advising on technology strategies, and producing actionable insights for clients.

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.

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.

Lead strategy and execution for agentic AI product experiences across the DFIR portfolio. Define roadmaps, ship reliable and governed agentic features, drive adoption and growth, instrument metrics and experiments, run continuous discovery, and collaborate cross-functionally to ensure trustworthy, scalable AI-native products.

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.

Design, develop, fine-tune, and optimize generative deep learning models (GANs, VAEs, transformers). Collaborate with cross-functional teams to integrate and deploy AI solutions, troubleshoot model issues, document models, and communicate technical concepts to non-technical stakeholders.

Lead client engagements to design and deliver scalable cloud data platforms and AI/GenAI solutions. Drive solution development, data governance, compliance, and operational metrics. Build and mentor cross-functional teams, provide technical leadership, and produce thought leadership to grow business opportunities.

Join Fortinets FortiGuard IoC team to build and deploy ML models and AI tools for threat detection, adversarial ML defenses, and automation. Work with data scientists, DevOps, and SOC analysts to integrate LLMs, wrap models as APIs, develop agentic workflows, and produce IoCs to improve detection and response.

Design and execute test plans for AI features and surrounding application logic, perform data verification for training/validation/production datasets, set up and maintain automated tests, identify and track software defects, and review AI feature requirements to support FortiOS testing.

Execute AI-powered demand generation using LLMs and multi-agent workflows to scale content, ABM outreach, AEO/SEO optimization, and analytics-driven campaign measurement across website and product channels.

Create, publish, and maintain technical documentation for Fortinet cybersecurity products. Use GenAI/LLMs and scripting to automate authoring, release notes, and publishing. Collaborate with product, engineering, QA, and stakeholders to translate complex features into user guides, references, and use-case scenarios. Analyze knowledge gaps with data analytics and train LLMs to support customer queries.

Execute AI-powered outbound prospecting: design and optimize automated workflows, run multi-channel outreach, qualify leads, book meetings, experiment to improve conversion, and consistently hit monthly targets.

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

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.

Build agentic applications and tooling with LLM infrastructure, requiring hands-on engineering in a high-pressure environment. Deliver quality under tight deadlines.

Lead enterprise AI projects to deliver high-quality solutions on time and budget, adapting project management methodologies and driving business change management.

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

The AI Automation Engineer will automate internal processes, mentor non-technical staff on building tools, and ensure solutions deliver measurable business impact using AI technologies.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

As a Senior AI Programmer at Epic, you will drive the development of core AI systems for gameplay, collaborate with various teams, and optimize gameplay AI to enhance game experiences.