Top AI Jobs in Vancouver

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Co-founder and CPTO to build and ship an explainable, audit-ready AI compliance platform. Own architecture, engineering culture, SOC 2 readiness, multi-tenant security, LLM training and reliability, explainability layer, product delivery to GA, customer-facing technical representation, hiring, and converting pilots to paying customers.

Co-founder CTO will own product and engineering: harden an LLM-powered 24/7 voice front desk for production reliability, build delivery infrastructure for Role-as-a-Service, optimize unit economics, convert pilots to customers, expand AI staff offerings, and recruit and lead the founding engineering team while representing the company to customers and investors.

Lead Weli AI as Co-Founder & CEO: define strategy, refine ICP and pricing, run customer pilots with RIAs, partner on product development, recruit and lead the founding team, and lead the seed raise with support from FutureSight.

Lead strategy, development, and delivery of AI-powered products. Define product vision, prioritize features, and collaborate with engineering, stakeholders, and customers to build scalable solutions using GenAI, LLMs, agentic frameworks, AWS AI services, vector DBs, RAG, and prompt engineering while ensuring AI governance and agile delivery.

Lead and operate an AI-native clinical documentation compliance startup. Define strategy, own customer development and pilots, partner on product development, lead fundraising, recruit and build the founding team, and establish company culture while scaling go-to-market and product-market fit.

Lead a venture-backed AI-native content intelligence and publishing product: define strategy and ICP, validate customers, ship V1 with product/engineering, hire and lead the founding team, and drive fundraising and go-to-market execution.

Lead the creation and go-to-market of an AI-native operating system for multi-channel ecommerce sellers. Define strategy, run customer pilots, ship V1 with the studio team, raise seed capital, recruit the founding team, and build company culture and commercial traction.

Remote contract role applying equity research expertise to train and evaluate AI models. Review AI-generated financial analyses, analyze SEC filings and financial statements, create evaluation tasks and structured datasets, and collaborate with AI researchers to improve financial reasoning and assessment criteria. Minimum 2 years equity research experience; 10 hours/week minimum commitment.

Lead strategy, customer development, product and fundraising for an AI-native accounting agent platform. Run pilots with CPA firms, recruit a founding team, partner with FutureSight to ship V1, and scale go-to-market and fundraising.

The Director, AI-Enabled DevOps Transformation will drive sales and growth in strategic accounts, manage client relationships, develop account strategies, and lead complex engagements in SDLC modernization and AI-enabled delivery.

Design and build AI orchestration architecture using Claude Code; create reusable orchestration patterns (skills, subagents, tools, hooks); optimize for latency, error handling, observability, and testing; run experiments, document learnings, and deliver production orchestrators that accelerate platform development.

Own and run an end-to-end AI UGC pipeline to produce dozens of TikTok/IG ad variants weekly: ideation, avatar/voice generation, editing, captions, publishing, and rapid A/B testing. Measure hook and hold rates, CPM/CPA, iterate quickly, maintain account health and policy/compliance (supplements, AI disclosures), and continually adopt new tooling to scale top-performing creatives.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

Lead discovery and build internal AI agents and automations end-to-end: map workflows across teams, prototype LLM-powered agents, define specs, quality guardrails, and observability, drive engineering delivery and adoption, and set roadmap for internal AI platform (Rockie).

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

The Staff Mobile Engineer will lead the architecture and development of a new AI-focused mobile product, ensuring performance, offline capabilities, and mentoring the team. Responsibilities include optimizing AI/audio pipelines and delivering iterative improvements across the application.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

Build production-grade AI agent systems, automations, and workflows across recruiting, security/compliance, finance, onboarding, CRM integrations, and growth. Implement LLM-powered solutions, API integrations, and operational tooling to improve hiring, sales, and enterprise readiness.