Top AI Jobs in Vancouver

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 analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Supports a Parkinson’s disease digital health study through participant visits, clinical assessments, data and technology-output review, safety concern escalation, screening, consent, documentation, and participant technology support. Assists with study protocols, REB submissions, SOP compliance, and multidisciplinary collaboration with clinicians, engineers, and researchers. Provides clinical input to study tools, data analysis, and publications while protecting participant privacy and maintaining data quality.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

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.

Leads the end-to-end SAP S/4HANA transformation, including Source-to-Pay and Order Management. Establishes program strategy, roadmap, governance, integrated planning, and delivery practices; leads internal teams, system integrators, and external partners; manages risks, dependencies, budgets exceeding $50 million, resources, benefits realization, and executive communications. Oversees implementation through go-live and stabilization while incorporating SAP AI, automation, Joule, and BTP capabilities.

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.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

Own the strategy and roadmap for a cloud-native, AI-powered security operations platform. Lead the full product lifecycle, conduct customer and market research, prioritize requirements, define features, and collaborate with engineering, AI, UX, sales, customer success, and services teams. The role focuses on agentic AI, visual AI, workflow automation, and simplifying complex B2B security operations experiences for high-tempo operations centers.

Conduct advanced research on large foundation models and post-training techniques for specialized domains. Develop AI-driven systems, research prototypes, and software tools; collaborate with researchers, engineers, and cross-functional teams; publish findings in leading conferences and journals; and present work at industry events.

Leads a 32-person technology operations team overseeing cloud and infrastructure services, digital workplace systems, service desk and service management, and disaster recovery. Advises the CTO on technology strategy, evaluates operational performance and trends, drives continuous improvement, and modernizes the technology platform through cloud-native capabilities, AI-enabled services, automation, and contemporary engineering practices.

Own the full sales cycle for digital marketing bundles targeting local businesses. Responsibilities include prospecting, making 30–40+ outbound calls daily, qualifying leads, conducting pitches, closing sales, following up, maintaining CRM records, reviewing pipeline performance, and using AI-powered coaching tools to improve sales effectiveness. The role is fully remote in Canada and offers progression to Account Executive.

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage metrics, and iterate based on customer feedback. Document effective prompts and development patterns while collaborating across teams.

Build end-to-end applications, workflow automations, and basic agents using AI coding agents. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated output for security and quality, engage with customers, and document effective prompts and development patterns.

Develops and grows an investment advisor network across the Vancouver region through recruitment, onboarding, coaching, business development support, and relationship management. The role helps advisors establish client acquisition and planning practices, adopt CRM and digital tools, build pipelines, and achieve sustainable productivity. It also supports regional growth initiatives, coordinates with leadership and cross-functional teams, and provides insights on advisor needs and trends.

Administer commercial and technology contracts, including MSAs, SOWs, NDAs, DPAs, and amendments. Manage intake, drafting, review, routing, signatures, records, obligations, and key dates. Support privacy and compliance questionnaires, use AI tools for contract workflows, coordinate priorities across Sales, Finance, and Delivery, track turnaround targets, and recommend process improvements.

Leads Cohere’s global Customer Success, Services, and Technical Support teams, driving adoption, customer experience, lifecycle strategy, and executive-level customer advocacy. Defines workflows and handoffs, coaches functional leaders, analyzes customer and support data, improves the customer journey, and influences product strategy. Partners with pre-sales, Product Management, and Machine Learning Engineering to represent customer needs and deliver value to enterprise AI customers.

Develop software, AI-assisted tools, simulations, analytics, and decision-support algorithms for subsea optical communication systems. Optimize EDFA and Raman backhaul links, assess cable aging, recommend remediation and retesting, automate cable upgrades, and support commissioning and network operations. Collaborate with optical, systems, DSP, and software engineers, interface with customers, demonstrate solutions, and evaluate AI-generated code for correctness, scalability, and maintainability.

Lead the App Excellence engineering domain across desktop, mobile, and browser platforms. Set strategy, manage through engineering managers and senior technical leaders, and establish practices for reliability, observability, quality, incident response, release readiness, and compatibility. Use customer and operational signals to guide priorities, coordinate cross-team dependencies, partner with Product, Design, Security, and Release Operations, and hire and develop leaders while improving delivery predictability and customer outcomes.

Designs and manages training content for software products, including e-learning modules, videos, technical manuals, job aids, and interactive exercises. Conducts needs analysis with subject matter experts, translates technical information into accessible learning materials, manages multiple instructional design projects, and evaluates training effectiveness using feedback and data. Requires strong communication, writing, editing, collaboration, adult learning theory, and proficiency with e-learning, video, graphic editing, productivity, and AI tools.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Enterprise Architect responsible for designing scalable technical solutions and architectures for strategic accounts across network virtualization, hybrid cloud, Edge AI, and managed services. The role combines technical consulting, value-based solution selling, customer relationship development, proposal creation, demonstrations, account planning, pipeline development, and sales forecasting. The architect translates customer business needs into technical designs, supports complex sales opportunities, leverages partner ecosystems, and presents transformation strategies to executives and stakeholders.

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches or recruits team members. Collaborates with engineering and enterprise stakeholders while applying agile methodologies, business analysis, and emerging AI, machine learning, data, and cloud technologies.

Drives new and expansion revenue among small and medium-sized business fleet customers. Responsibilities include prospecting, qualifying leads, conducting discovery conversations, delivering product demonstrations, managing opportunities in Salesforce and Salesloft, using partner and referral programs, and collaborating with revenue operations, marketing, and account teams. The role requires strong communication, organization, sales aptitude, customer relationship skills, and interest in developing expertise in telematics and fleet management.