Top AI Jobs in Vancouver

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Develops AI-assisted content and marketing automation for EMHware and GoodTherapy. Responsibilities include creating HubSpot workflows, optimizing SEO, managing A/B testing, deploying campaigns across digital channels, building KPI dashboards, analyzing attribution and audience segments, and translating marketing data into actionable recommendations.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Lead the long-term software vision, strategy, and roadmap across machine vision, imaging, AI, machine learning, workflow automation, and 3D products. Influence product managers and align software priorities with hardware, customer, and business objectives. Develop licensing and recurring-revenue strategies, engage customers and partners, evaluate build-or-buy opportunities, and track adoption, revenue, profitability, and satisfaction while ensuring cybersecurity, privacy, and compliance alignment.

Build and operate backend systems, APIs, integrations, automation workflows, and enterprise knowledge infrastructure for AI applications. Develop retrieval pipelines, vector database solutions, and agent-based systems while improving scalability, observability, reliability, and performance. The role requires production software engineering, modern AI architecture knowledge, clear documentation, testing, and collaboration with technical and nontechnical teams.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Own the technical direction and implementation of authentication, authorization, and on-behalf-of delegation for Redpanda’s agentic AI platform. Extend its OAuth authorization server and token vault, build auditable delegation systems, and federate with enterprise identity providers such as Okta, Entra, and Ping. Lead technical decisions across multiple engineering teams, track emerging agent identity standards, collaborate with security and product teams, mentor engineers, represent technical positions externally, and deliver production-hardened systems.

Develop, deploy, and improve internal AI tools and agents across business functions. Integrate AI with enterprise systems, implement security and responsible-use guardrails, evaluate emerging technologies, monitor performance and costs, and support scalable adoption. Identify AI opportunities, document solutions, train users, and collaborate with IT, cybersecurity, finance, and business stakeholders to ensure secure, practical, cost-effective implementations.

Own bug triage, code fixes, testing, and product quality monitoring across AI-powered products. Interpret user feedback, identify meaningful issues, validate fixes and edge cases, communicate status clearly, and document recurring problems. The role requires independent judgment, product sense, technical troubleshooting, and effective use of Claude Code and other AI tools. It is fully remote for US or Canada-based independent contractors, with potential conversion to full-time employment.

Leads accounting systems transformation and finance automation, including NetSuite and Salesforce optimization, AI agent deployment, integrations, reporting, and internal tooling. Owns project plans, testing, training, go-live, controls, and executive reporting while partnering with engineering and cross-functional teams. Identifies automation opportunities, pilots AI vendors, supports SOX requirements, and trains finance staff on new workflows.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Build and maintain internal HR-focused tools, dashboards, portals, web applications, reports, integrations, and workflow solutions. Use AI-assisted development tools, administer Databricks, support cloud and database integrations, document solutions, troubleshoot deployed tools, and coach non-technical stakeholders on AI-enabled workflows. Collaborate with product engineering to deliver secure, maintainable software in a hybrid internship with potential full-time conversion.

Own full-cycle sales for Featherless’s AI inference cloud, from prospecting and discovery through technical demos, proposals, negotiation, and close. Build relationships with CTOs, ML engineers, and infrastructure leaders; close mid-market and enterprise deals; expand existing accounts; maintain HubSpot CRM accuracy and forecasting; collaborate with CRO, BDR, DevRel, product, and engineering; and help establish repeatable sales and go-to-market processes.

Build and qualify enterprise and AI startup pipeline, manage inbound requests and outreach automation, re-engage users, track CRM and pipeline metrics, and attend events to generate relationships. The role requires technical fluency in AI, strong communication, entrepreneurial initiative, and comfort engaging developers, founders, researchers, and enterprises. Candidates should have 1–2 years of experience in sales, developer relations, or entrepreneurship.

Build and operate production machine learning platforms for document extraction, prescription processing, scan quality, restoration design, and AI agents. Establish evaluation and accuracy reporting, create feedback loops that convert customer corrections into training data, standardize model deployment and registries across squads, support multi-tenant behavior, and migrate inference workloads to the cloud. Set company-wide AI direction while balancing deterministic rules, human review, model performance, privacy, and inference costs.

Own end-to-end Lyric deployment workstreams from planning through go-live. Manage project plans, meetings, timelines, budgets, risks, UAT, customer adoption, training, and post-launch monitoring. Partner with executives, engineers, and supply chain operators to translate business needs into platform solutions and ensure successful delivery.

Lead company-wide AI capability and adoption by developing strategy, coordinating a cross-functional AI Superteam, designing role-based learning, driving change management, scaling successful use cases, and measuring AI readiness, usage, and impact. The role partners with senior stakeholders across business, technology, security, and legal teams to promote responsible, practical AI use and embed new ways of working across the organization.

Own and expand Jobber’s AI marketing enablement program by building agents, automations, integrations, evaluation practices, and reusable workflows. Partner with marketing teams to identify high-impact use cases, connect AI to live data, improve campaign analysis and execution, coach marketers, and drive adoption. The role also owns the AI roadmap, maturity model, documentation, reliability, responsible use, and measurement of business impact across Demand Generation and broader marketing.

Build and own production AI systems as Jobber’s founding AI engineer. The role covers end-to-end architecture, retrieval quality, permissions, security, reliability, LLMs, agents, integrations, and workflow deployment. You will partner with teams and executives, evaluate build-versus-buy options, run rapid proofs of concept, establish technical standards, and deliver trustworthy AI systems used across the company.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.

Own the technical design and delivery of multi-component AI systems, including evaluation frameworks, data pipelines, feedback loops, model-tool boundaries, and agent harnesses. Ship reliable LLM-backed features, optimize latency and cost, support APIs and SDKs, review designs and code, and participate in 24/7 on-call rotations. Collaborate across teams on geospatial, navigation, platform, and developer-focused AI problems.

Develop end-to-end software for Unity Video products using AI coding agents in a plan-first, test-verified workflow. Translate requirements into implementation plans, direct and review agent output, validate behavior through unit, integration, and end-to-end tests, and support large-scale front-end architectures and rich user interfaces. Contribute to CI/CD, containerization, DevOps tooling, test automation, technical mentorship, and software quality standards. This hybrid role requires residence in Greater Vancouver and office attendance.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.