Top AI Jobs in Vancouver

The Elastic AI Engineer will develop agentic workflows, integrate AI models with APIs, manage agent lifecycles, and implement security standards.

As a Senior AI-Enabled Full-Stack Developer, you will integrate AI into products, design scalable architectures, build full-stack apps, and mentor peers while collaborating internationally.

Develop and integrate AI software features, work with product managers, troubleshoot with QA, and take ownership of modules for EDA.

As an AI Strategist, guide organizations in adopting AI by translating business challenges into clear use cases, aligning with enterprise architecture, and influencing high-impact decisions across teams.

Lead product marketing for Procore's AI initiatives, shaping strategy, messaging, and sales enablement while driving AI adoption in construction.

The AI/ML Engineer will develop and maintain AI/ML pipelines, leverage Generative AI technologies, and collaborate with teams to integrate solutions.

As a Principal AI/ML Architect, you will lead ML assessments, provide architectural guidance, and advise on ML operations across diverse client engagements, ensuring technical quality and building customer confidence through high-quality proof of concepts.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

Lead development of AI-driven features, manage integrations and teams, oversee product strategy, and cultivate relationships to drive business growth.

Join Jane AI as a Senior/Staff Full Stack Engineer to develop AI-first solutions across various workstreams, making impactful architectural decisions and improving performance.

The Senior Cloud & AI Platform Engineer will design and implement cloud architectures, build AI/ML platforms and automation pipelines, ensure security and compliance, and mentor teams in best practices.

Execute technical and content SEO, local SEO, and AI discoverability for ecommerce and content-heavy sites. Perform audits, implement structured data/schema, on-page optimization, keyword research, Google Business Profile management, and use GA4/Search Console/Looker Studio and SEO tools to tie search performance to business KPIs while partnering with cross-functional teams.

The AI/ML Architect will design scalable AI and ML solutions, lead technical teams, evaluate technologies, and ensure high-quality project delivery across the organization.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.