Top AI Jobs in Vancouver

Leads fraud strategy for new products, payment methods, and customer channels. Manages technical program managers and fraud data analysts, defines fraud controls from risk assessment through delivery, evaluates experiments and control performance, coordinates cross-functional stakeholders, prioritizes initiatives, handles fraud incidents, and communicates risks and recommendations to executives. Requires strong expertise in fraud detection, prevention, AI, analytics, and financial risk, with experience in payments, fintech, or remittance preferred.

Leads and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Lead development of highly available, distributed payments platform services and global bill payment capabilities. Design scalable, secure, high-throughput backend systems, APIs, and database solutions while integrating multiple payment providers and risk controls. Contribute hands-on production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Develop AI and big data solutions for real-time fraud and cyber-threat detection. Responsibilities include building data pipelines and feature engineering workflows, processing large-scale datasets, improving model monitoring and drift detection, applying MLOps and automation, and deploying scalable AI capabilities. The role collaborates with data scientists, engineers, and product teams to improve model performance, reliability, and operational efficiency.

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.

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.

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.

Owns company-wide operating cadence, work management systems, process adoption, SOPs, reporting, operational controls, and cross-functional initiatives. Manages onboarding, learning infrastructure, enablement, and leadership development programs. Identifies automation and AI opportunities, implements scalable processes, measures outcomes, and provides recommendation-led proposals to senior leadership.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

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.

Owns Cyber Resilience Act readiness across a product portfolio, managing roadmaps, assessments, risk remediation, testing, technical documentation, conformity assessments, and executive reporting. Coordinates Product, Engineering, Cybersecurity, Quality, Compliance, Legal, consultants, laboratories, and certification bodies. The role also improves compliance processes and tools through automation and AI.

Owns Pfizer GH&B’s AI-ready Snowflake data warehouse, data architecture, ontologies, governance, quality, lineage, access controls, and production reliability. The role supports AI/ML models, dashboards, and business-critical data applications; establishes testing, release, monitoring, and incident processes; directs contingent technical resources; and aligns business-specific data decisions with enterprise standards. Requires strong SQL, Python, Collibra, data warehousing, unstructured-data architecture, ontology, governance, and stakeholder-influence experience.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Own the Everand consumer mobile app’s vision, strategy, roadmap, and reader experience across iOS and Android. Lead a cross-functional squad, prioritize investments, drive execution, improve retention and engagement, and maintain high app quality. Use reader research, experimentation, analytics, AI, and personalization to guide decisions while partnering across product, engineering, content, marketing, and leadership.

Conduct research on AI systems and infrastructure, developing algorithms and frameworks to improve performance, scalability, efficiency, reliability, and automation. Collaborate with engineering, data science, product, academic, and industry teams; publish and present research; and mentor researchers and engineers. The role focuses on foundation models, post-training, agent systems, ML systems, distributed systems, AI accelerators, and autonomous infrastructure management.

Field-based pharmaceutical sales role responsible for growing GSK’s Hepatology portfolio across British Columbia. The specialist develops territory business plans, builds relationships with healthcare professionals and decision-makers, supports product launches, conducts scientific discussions, executes educational programs, manages budgets, and drives patient access and market growth. The role requires cross-functional collaboration, compliance with regulatory standards, extensive travel, and routine driving.