Top AI Jobs in Vancouver

Principal Software Engineer responsible for evolving Evisort’s AI-driven contract management platform. The role involves collaborating across engineering, data science, product, and design; shaping technical strategy and architecture; building scalable SaaS solutions; owning systems from development through production; mentoring teammates; and applying distributed systems, cloud, DevOps, containerization, testing, and observability practices.

Supports client delivery for AI-powered insurance solutions by facilitating discovery workshops, translating business needs into requirements and user stories, designing workflows, analyzing product performance, and leading testing and UAT. The role collaborates with engineering and product teams, identifies integrations and risks, validates AI outputs, and drives continuous improvement through analytical reporting and AI-assisted process optimization.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Design and build production-grade ML systems and LLM-powered agent frameworks (RAG, orchestration, evaluation). Own model lifecycle from data strategy to deployment, monitoring, and continuous improvement, partnering with software engineers, product managers, and data scientists to integrate scalable, observable, and enterprise-ready agents.

Design and build production-grade AI agents integrated into Workday’s enterprise platform. Develop agentic workflows, orchestration architectures, and scalable backend systems; integrate and govern LLMs over sensitive HR and financial data; implement privacy, security, explainability, evaluation, and reliability guardrails; optimize latency, cost, and context usage; lead engineering workstreams and mentor engineers.

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Shape Motion’s market presence through positioning, storytelling, product launches, and campaigns. Rapidly test marketing ideas, identify opportunities, scale successful initiatives, and build AI-native systems and workflows that multiply marketing effectiveness. The role is designed for an experienced marketing executive who wants to return to hands-on execution while helping define modern marketing at a fast-growing AI company.

Develops communications strategy and thought leadership for cybersecurity, identity, access management, and AI topics. Responsibilities include media relations, executive communications, contributed content, event and speaking strategies, rapid response, narrative development, journalist engagement, and communications measurement. The role translates complex technical concepts into credible messaging for developer, business, and security audiences while collaborating with marketing, product, engineering, security, legal, sales, executives, and agencies.

Own Spellbook’s entire product function, including product vision, portfolio strategy, roadmap prioritization, execution, launches, customer insight, analytics, and cross-functional alignment. Lead and grow a team of Product Managers while partnering with engineering, design, marketing, sales, customer success, and the CEO. Drive AI-powered B2B SaaS product development and contribute to company strategy, investor narratives, and fundraising efforts.

Develop and deploy scalable AI products using LLMs, knowledge graphs, personalization, and predictive analysis. Build reliable AI orchestration workflows, backend services, data pipelines, and cloud-native infrastructure. Architect maintainable systems, evaluate model performance, implement observability and experimentation, and deliver secure, high-availability software. Collaborate with product, design, and ML infrastructure teams while mentoring engineers and translating ambiguous product goals into customer-focused solutions.

Drives AI, CRM, ERP, security, and cloud solution sales across a Western Canada multi-industry territory. Manages opportunities throughout the sales cycle, develops territory and pipeline strategies, engages executives and partners, and coordinates Microsoft teams to deliver business transformation outcomes. Builds trusted customer relationships, identifies expansion opportunities, forecasts performance, and aligns solutions with customer priorities, adoption goals, compliance requirements, and measurable business value.

Lead the design, delivery, and operation of agentic AI workflows and applications from discovery through production. Partner with business teams to automate complex workflows, integrate AI with enterprise platforms, and establish reusable patterns, guardrails, evaluation frameworks, and monitoring. Collaborate with product owners and subject-matter experts, translate business needs into technical solutions, and coach teams to improve AI fluency and adoption.

Lead robot learning research initiatives from hypothesis through validation and production transition. Develop and evaluate reinforcement learning, imitation learning, simulation-to-real, world model, and foundation model approaches for physical robots. Design experiments, training and data collection pipelines, and performance improvements while collaborating cross-functionally to harden algorithms for production. Requires deep expertise in at least one robot learning area, practical robotic manipulation experience, and strong Python, machine learning, and robotics platform skills.

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage and outcome metrics, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Leads AI, AEO/GEO, and growth product strategy for Uberall, including roadmap development, product innovation, product-led growth, and customer retention. Manages and mentors global product managers while collaborating with engineering, design, marketing, sales, customer success, and senior leadership. Uses market trends, customer data, competitive analysis, and product metrics to guide decisions and optimize initiatives. Requires deep AI and SaaS expertise, strong growth strategy experience, and a proven record of launching and scaling successful products.

Build and deploy complete applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, instrument solutions, evaluate AI-generated output for security, privacy, reliability, and quality, and iterate based on usage and outcome metrics. Participate in customer conversations to identify automation opportunities and document effective prompts and development patterns.

Leads AI strategy, solution architecture, prototyping, automation, innovation, governance, adoption, and measurement across AdFarm and selected client work. Translates business challenges into AI solutions, prioritizes opportunities, evaluates build-versus-buy decisions, leads pilots, partners cross-functionally, and communicates results and investment needs to senior leaders. Requires hands-on AI application design, technical fluency, change leadership, stakeholder influence, and agency or professional-services experience.

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Build and own customer-facing product features end to end, from customer discovery and prototyping through production deployment and validation. Develop across Rails APIs, React and TypeScript frontends, AI agents, realtime voice, video, search, and analytics. Work autonomously with founders and product teammates, use AI coding tools daily, maintain production systems, make UX decisions, and take accountability for product outcomes.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Build automated growth marketing systems for enterprise and mid-market segments using AI, data enrichment, workflow automation, ABM, and intent signals. Responsibilities include lead scoring, CRM data management, outbound orchestration, seller operations automation, account tiering, regional workflow localization, vendor evaluation, and performance reporting against pipeline and SQL goals.

Staff Content Designer responsible for shaping investing product experiences, simplifying complex concepts such as options, margin trading, futures, and perpetuals. Partners early with product, design, engineering, marketing, brand, legal, and compliance teams. Develops content standards, workflows, templates, and AI-powered processes to scale quality. Requires strategic thinking, hands-on UX writing, mentorship, and the ability to become a subject matter expert. Applicants must submit a portfolio with at least three case studies demonstrating improved user experience and business outcomes.

Leads the technical vision and delivery of an enterprise agentic AI program. Oversees architecture, evaluation, deployment, MLOps, reliability, security, and scalability across multiple workstreams. Partners with executives and client stakeholders on roadmaps and high-stakes decisions, aligns data science and engineering teams, establishes technical standards, and mentors senior technical leaders. Requires deep experience in AI/ML, LLMs, agentic systems, AWS, distributed systems, evaluation, and production-scale software engineering.

Lead Tilt’s product design function across consumer financial products. Set design vision and quality standards, manage and grow a team of six designers and one researcher, build research capabilities, influence product strategy, scale the design system, advocate for users, and partner with Product, Engineering, Marketing, and executive leadership. Drive AI-enabled design practices and ensure product experiences deliver measurable user and business impact.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.