Top AI Jobs in Vancouver

As an Enterprise Architect, you'll drive the adoption of AI solutions, communicate technical concepts, develop presentations, and craft solutions that demonstrate Workday technology.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

The AI Support Engineer will troubleshoot customer issues, escalate problems, document solutions, and contribute to product testing and automation.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.

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

Lead the development and execution of AI-powered content strategies, optimize digital experiences, and guide client engagements in content strategy.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

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.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

The Senior Product Manager will oversee AI solutions from R&D to production, ensuring user needs are met while collaborating across teams to deliver robust AI technologies.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

As an Applied AI Engineer, you'll drive the development of AI-powered financial products, collaborating across teams to build and improve systems, optimizing generative AI applications, and contributing to foundational model applications.

The Director of Engineering, AI will lead AI initiatives, drive product strategy, manage engineering teams, and ensure effective technical execution in a fast-paced environment.

The Learning Operations & AI Analyst will manage data across multiple platforms to enhance Customer Education, drive insights, and optimize workflows using AI.

The Senior Staff AI Engineer will lead RL-driven AI systems architecture and development, mentor team members, and ensure robust integration into production systems.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

The Revenue Operations & GTM Systems Manager will manage tools and processes across Sales, Marketing, and Customer Success, focusing on automation and operational excellence using AI.

Develop AI-powered workflows, conversational systems, and intelligent agents for construction planning. Collaborate with teams to optimize project automation.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.