Top AI Jobs in Vancouver

Lead enterprise data, analytics, AI, automation, and information governance. Define strategy and roadmap, modernize data platforms (lakehouse/Azure Databricks), establish AI and automation capabilities, enforce governance/MDM (Semarchy), deliver BI/Power BI and predictive solutions, run Automation CoE, drive data literacy, and build a high-performing cross-functional team.

Lead and grow BDO's AI Engineering practice in British Columbia by combining business development, practice leadership, and delivery oversight. Advise executives on technology strategy, application modernization, and AI adoption; lead complex, multidisciplinary engagements; embed responsible AI governance; develop offerings and assets; recruit, mentor, and coach consultants; and ensure delivery quality, commercial performance, and client satisfaction.

Troubleshoot and resolve complex hyperscaler and AI-data-center networking issues as a Tier-3 escalation engineer. Diagnose hardware/software faults, collaborate with engineering and sales, document root causes, and support product quality and development.

As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.

Design, build, and integrate AI-powered features using foundation models and managed cloud AI services. Develop RAG pipelines, agent/tool-calling workflows, fine-tune hosted models, implement data governance and security, evaluate vendors, establish monitoring and cost-control, define technical standards, mentor developers, and work with risk, compliance, and business stakeholders to deliver regulated AI solutions.

Lead and grow a Vincent AI software engineering team: collaborate with product and design, design technical solutions, perform code reviews and hands-on development, hire and coach engineers, drive roadmaps, and improve processes with an AI focus.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

Lead AI software engineering efforts within Governance, Risk, and Compliance, focusing on building production-grade AI systems, mentoring teams, and aligning technical solutions with business needs.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The role involves developing advanced automation workflows using Claude and Claris MCP for a demonstration and webinar, requiring strong technical skills and independent work.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Seeking a Chief of Staff for the Managing Director of AI to drive AI-enabled processes, client transformations, and organizational change. Responsibilities include strategic leadership, designing automated systems, managing client engagements, and ensuring effective AI integration across operations.

Designs, builds, tests, and deploys AI-enabled automations and copilots for GTM and RevOps. Creates reusable agent templates, prompt libraries, and orchestration patterns; implements end-to-end API integrations; monitors performance; documents and hands off production solutions; and trains/coaches business teams on safe, responsible AI usage and prompting best practices.

Work with founders and the founding team to build AI-powered internal tools and automations, run GTM and community activities, and manage daily operations. Own content, events, scheduling, vendor logistics, and process design while using AI tools to automate and ship solutions.

Lead product strategy and execution for Autodesk's Flow AI platform in Media & Entertainment. Define AI-driven experiences, integrations (Autodesk and third-party tools), and natural-language extensibility. Drive cross-functional alignment, prioritize using customer and workflow research, and deliver adoption, productivity, and creative capability outcomes across film and game production pipelines.

Design, build, deploy, and operate an internal AI platform and AI-powered developer workflows. Implement CI/CD for models, prompts, and evaluations; integrate Bedrock/agent frameworks; ensure security, observability, reliability, and cost/version controls; respond to incidents and participate in on-call rotations; promote AI best practices and lead architecture discussions.

Define enterprise AI strategy and architecture for LLMs, RAG, and predictive models; design secure, high-performance REST/GraphQL APIs and event-driven systems; establish AI/data governance; and lead cross-functional teams to productionize real-time AI applications.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

As a Senior AI Kernel Engineer, you will design and optimize high-performance kernels for AI inference on GPUs and custom accelerators, improving performance and collaborating with various teams to influence architecture and implementation.

Part-time SEO & AI Search Specialist responsible for technical SEO audits, keyword and content strategy, schema implementation, AI search optimization, high-quality backlink acquisition, and monthly performance reporting to increase qualified organic traffic.

Design, build, and operate LLM-facing backend services and evaluation systems. Develop prompts, context pipelines, tool-calling workflows, and retrieval systems. Measure and improve model grounding, consistency, latency, and cost. Ship production-ready solutions and rigorous regression/evaluation pipelines for real-world therapeutic data.

The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Design, build, and optimize scalable AI-enabled application features and services. Integrate ML models and generative AI, ensure secure and test-driven implementations, troubleshoot AI performance, mentor engineers, and drive AI architecture, CI/CD, and best practices across teams.

Senior front-end–leaning full-stack developer to own end-to-end feature delivery across diverse SaaS stacks. Use AI-augmented development tools to accelerate builds, modernize legacy systems, ensure test coverage and safe deployments, mentor junior engineers, and communicate progress to leadership while delivering polished, user-focused UI/UX.