Top AI Jobs in Vancouver

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Responsible for developing and deploying AI/ML models, integrating systems, optimizing LLM performance, and implementing MLOps practices within GCP.

Lead strategy, delivery, and operations for Clio's Enterprise AI platform. Build roadmap, govern platforms and responsible AI standards, partner with cross-functional leaders, deliver AI workflows integrated with internal data, and hire and develop a scalable team while ensuring security, privacy, and measurable business impact.

Lead design, build, and operation of internal AI systems and workflows that integrate with Clios data and tools. Deliver production-grade, observable, secure AI solutions, collaborate cross-functionally, uphold responsible AI standards, and provide technical mentorship and long-term operational ownership.

As a Senior AI Programmer, you'll develop AI systems for interactive projects, collaborating with teams to optimize performance and design.

Drive identification, prioritization, and delivery of AI initiatives across business units. Build business cases, define KPIs, manage pilots and rollouts, coordinate stakeholders (engineering, IT, security, compliance), and measure impact while promoting AI literacy and responsible adoption.

Lead and mentor a 4–8 person engineering team to design, build, and deliver scalable AI applications using modern LLM services, RAG, AI agents, and ML techniques; contribute to prototyping, production delivery, architecture standards, and cross-functional AI enablement.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The Staff Software Engineer will lead architectural modernization, collaborate across teams, develop proofs of concept, mentor engineers, and ensure technical excellence in delivering high-quality software solutions.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.

Own and evolve Orchestry's Microsoft Fabric data warehouse and build AI-ready architectures and agentic workflows. Design scalable models, retrieval pipelines, governance, and customer/internal AI agents, ensuring security, reliability, and measurable business impact.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

Design and build an end-to-end AI Flywheel: mine edge cases, orchestrate multi-node distributed training, automate evaluation/selection, package and deploy models, and scale continuous learning across a fleet of autonomous trucks.

Responsible for developing software, ensuring code quality, collaborating with project teams, communicating technical decisions, and managing deployments. Requires extensive experience in Java, Typescript, AWS, and software development principles.

The AI Automation Engineer will design and build autonomous AI agents for various business functions, integrate AI with existing systems, and influence the internal AI strategy. They will also manage the lifecycle of AI agents and ensure effective communication with stakeholders.

Senior consultant who designs, implements, and deploys generative AI solutions (LLMs/agents) in cloud and on-prem environments, works directly with clients, writes production-quality code, and supports proposals and sales.

As Staff Product Manager for the AI Platform, you'll define the vision and roadmap, establish execution methods, and collaborate across teams to ensure safe and efficient AI operations in a scalable enterprise platform.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

As an AI Product Designer, you'll enhance the Editor experience, collaborate on workflows, and define video output styles, ensuring a high-quality user outcome.