Top AI Jobs in Vancouver

Leads the transformation of Product operations through AI, automation, integrated tooling, and redesigned workflows. Identifies high-value opportunities, builds scalable agents and automations, establishes secure operating practices, and measures improvements in velocity, capacity, quality, adoption, and decision-making. Partners with Product, IT, Security, Data, Legal, and R&D while driving AI fluency, reusable patterns, and enterprise-ready capabilities.

Supports buy-side mergers and acquisitions across target sourcing, financial valuation and modeling, due diligence, deal structuring, and post-merger integration. The role coordinates internal and external stakeholders, prepares LOIs, term sheets, and investment materials, tracks integration KPIs, resolves operational issues, and supports the integration of acquired teams. It also contributes to continuous improvement, AI-enabled workflow modernization, professional development, and clear presentation of complex financial information.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Leads the deployment of AI-powered workflows across business functions, transforming manual processes into measurable, production-ready systems. Partners with department leaders and Engineering to build automation, evaluation, monitoring, governance, and shared AI infrastructure. Develops templates, playbooks, training, and enablement to increase adoption while ensuring security, privacy, compliance, and responsible data use. Requires strong hands-on AI fluency, cross-functional leadership, workflow expertise, and the ability to teach complex concepts clearly.

Lead enterprise AI architecture strategy and roadmap; design scalable AI, data, and integration architectures; establish reusable frameworks, standards, and governance; drive platform and technology selection; ensure security, compliance, and responsible AI; partner with business leaders and mentor teams to deliver enterprise-scale AI solutions.

Lead AI coding-tooling standards and developer experience, define Skill Marketplace conventions, and build production-quality internal AI application prototypes. Develop reference implementations for agent workflows, streaming UX, memory, multi-agent collaboration, and AI-native engineering processes. Provide architecture guidance, review code, publish technical content, deliver workshops, and collaborate asynchronously with APAC teams. The role requires strong full-stack engineering, product judgment, LLM application experience, and public technical influence.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Leads discovery and development of enterprise conversational AI experiences for BMO’s contact centre, including Natural Language IVR. Partners with technology, analytics, design, risk, and business stakeholders to define requirements, deliver scalable solutions, monitor performance, support production enhancements, and align technology initiatives with business strategy. Provides specialized consulting, analysis, reporting, stakeholder guidance, and risk-informed recommendations.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Build production AI systems for finance teams, including customer-specific anomaly-detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with warehouse access and customer-hosted deployments. Implement verification, human-confirmation checkpoints, anti-leakage controls, and CI evaluation for grounding and hallucination. Use customer feedback to improve models and systems while collaborating with AI and evaluation engineers.

Design and build deterministic, auditable AI engines and conversational agents for finance platforms. Lead architecture across RAG, agent orchestration, structured outputs, grounding, evaluation, verification, and human-in-the-loop workflows. Develop production Python services with SQL and vector retrieval, support multi-cloud and on-premises deployments, mentor engineers, conduct design reviews, and communicate architecture decisions to technical and business stakeholders.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Manage inbound and outbound sales cycles for solo practitioners and small law firms. Responsibilities include prospecting, discovery calls, product demonstrations, negotiation, pipeline forecasting, Salesforce activity management, territory ownership, and cross-functional collaboration. The role focuses on selling Clio’s legal practice management software, developing customer relationships, and adapting sales strategies based on industry trends.

Drive new business development and close sales with law firms in an assigned territory. Responsibilities include prospecting, managing inbound and outbound opportunities, conducting discovery calls and product demonstrations, forecasting pipeline, using Salesforce, negotiating with decision-makers, and collaborating cross-functionally to meet customer needs. The role requires at least three years of sales experience, including closing, and one year of full-cycle SaaS sales experience.

Provide high-judgment executive support to three leaders, including two co-founders. Manage calendars, communications, travel, logistics, expenses, relationship tracking, meeting preparation, and confidential information. Improve leadership operating systems, information flow, decision follow-through, and selected operational projects. The role requires exceptional prioritization, discretion, anticipation, organization, and the ability to use AI to increase leverage while supporting a frontier science and engineering organization.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Build and scale customer-facing iOS applications for OPENLANE’s wholesale vehicle marketplace. Responsibilities include designing Swift and SwiftUI features, leading iOS architecture and UIKit modernization, improving testing and release practices, managing cross-cutting concerns such as authentication and analytics, using AI development tools, mentoring engineers, and collaborating with Product, Android, backend, platform, and QA teams.

Build and scale customer-facing Android marketplace features for buyers and sellers. Develop Compose and legacy XML UI, write unit tests, participate in CI and code reviews, and collaborate with product, design, backend, platform, iOS, QA, and senior Android engineers. Use AI tools daily for coding, testing, debugging, refactoring, documentation, and reducing repetitive work while validating outputs and maintaining ownership of reliability and production quality.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.