Top AI Jobs in Vancouver

Own the strategy, roadmap, development, and execution of Agentic Insights and other data products. Identify proprietary signals across company datasets and transform them into scalable, partner-facing AI-powered insights. Collaborate with engineering, design, operations, and partners; prioritize the backlog; analyze user feedback and product metrics; and deliver products that improve partner decision-making and business outcomes.

Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.

Build and maintain revenue, demand, pipeline, quota, territory, and sales-capacity models. Translate lead targets into marketing budgets and channel recommendations, monitor funnel performance, forecast revenue and supply needs, and identify gaps between sales plans and operational capacity. Partner cross-functionally with Marketing, Sales, Finance, Operations, and Supply Chain to improve forecast accuracy, support reforecasting, and establish weekly, monthly, and quarterly planning cadences.

Lead product strategy, portfolio execution, and AI-first transformation for Colliers’ proprietary commercial technology platforms. Oversee multiple Product Management teams, establish roadmaps and FED governance, partner with Data, AI, Engineering, and global business leaders, and deliver enterprise B2B products for sales and services professionals. Drive adoption, product telemetry, KPIs, ROI measurement, and AI-enabled workflows using cloud and analytics technologies.

Manage end-to-end IT and indirect procurement, including intake, sourcing, supplier evaluations, negotiations, contract management, renewals, spend tracking, compliance, and supplier performance. Partner with stakeholders to develop procurement strategies, identify savings, mitigate risk, improve processes, and standardize tools and reporting across technology, professional services, and other categories.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Integrate Workday/Notion, ensure security and data governance, design multi-model LLM reliability, and own production lifecycle including CI/CD, monitoring, and incident response while working with non-technical stakeholders.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Lead global sales enablement programs that drive measurable revenue by diagnosing performance gaps, creating role-based training and playbooks, aligning cross-functionally, and optimizing adoption through analytics and manager-led reinforcement.

Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Design stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and benchmarking; establish standards for RAG, prompting, context optimization, and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

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.

Lead technical vision and architecture for AI-powered GTM systems, defining reference architectures, patterns, and governance for low-code and custom agentic solutions. Architect and prototype LLM orchestration, multi-system integrations, RAG pipelines, and event-driven data flows across Salesforce, NetSuite, Marketo, and cloud infrastructure while partnering with GTM leaders to deliver production-grade, auditable, and scalable automation.

Lead end-to-end UX across Babylist web and mobile: run user research, build rapid interactive prototypes, write production front-end code, evolve the design system, instrument outcomes, and champion AI-native design workflows to create intuitive, delightful experiences for families.

Own the end-to-end creation and optimization of performance-driven advertising across TikTok, Meta, YouTube, CTV, and emerging channels. Develop concepts, scripts, hooks, creative frameworks, briefs, and edited video assets while maintaining strong visual and brand quality. Use performance data, platform trends, AI tools, and media insights to improve creative effectiveness. Direct agency and production partners, collaborate with growth and analytics teams, and scale Jerry’s creative output.

Lead the roadmap, development, and rollout of Jerry.ai’s customer-facing Agentic AI platform. Partner with engineering and OpenAI to design prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical architecture into organizational standards, improve answer quality and automation through experimentation, and balance latency, cost, and accuracy. The role owns the consolidation and advancement of AI capabilities across chatbots, validation, back-office automation, voicebots, computer-use agents, and consumer AI applications.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Own and improve the AI Social generative media pipeline: build and ship LLM-driven prompts/agent loops, choose and compose media (image, video, voice, music), collaborate with product/design/content, and deliver polished, production-quality social assets.

Support customer deployments and adoption of Regology by serving as a technical subject matter expert and project manager. Lead enterprise integrations, API discussions, AI-related technical conversations, training, troubleshooting, and requirements translation across customers, product, engineering, and sales teams. Coordinate implementation activities, resolve integration issues, and provide technical support during customer and sales engagements.

Identify business challenges and translate them into AI initiatives; architect AI solutions using appropriate models, frameworks, and infrastructure; guide data science and engineering teams through proof-of-concept development and deployment; mitigate bias and model drift through monitoring; and communicate an AI vision aligned with business goals.