Top AI Jobs in Vancouver

The Senior Product Owner will manage multiple product backlogs, collaborate with development teams, and integrate AI technologies into public safety software. Responsibilities include defining user stories, facilitating Agile processes, and ensuring product quality.

The Software Engineering Intern will design, build, and deliver core AI-driven services in a collaborative agile team for a SaaS platform.

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

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

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

The role involves leading AI and ML projects, defining technical strategies, mentoring teams, managing projects, ensuring quality, and engaging stakeholders.

The VP of Developer & AI Engineering at 1Password will lead AI initiatives, architect technical vision, and manage cross-disciplinary teams to enhance developer experience and security.

As Principal Product Manager for Platforms, you'll define the vision and roadmap, build self-service tools, and drive cross-team alignment, overseeing everything from agentic behavior to internal tooling. You'll impact customer experiences and product deliveries across the company.

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

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

As a Senior Staff Software Engineer, you'll lead AI Foundations projects, building systems for LLM integration, and improve infrastructure for AI-driven features, supporting rapid iteration.

The Applied AI Engineer will create POCs from customer use cases, prototype AI solutions, and collaborate with teams to integrate AI tools effectively.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

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

Design and implement infrastructure for deep learning model training and deployment in self-driving trucks, optimizing performance and metrics tracking.

The role involves developing multimodal AI models that integrate various sensor data, optimizing for efficiency, and enhancing AI adaptability through research and model refinement.

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

As a Full Stack Software Engineer, you will develop and maintain AI applications, optimize performance, and collaborate with product management to ensure technical feasibility and user satisfaction.

Design and implement orchestration models for AI/ML workloads to optimize resource allocation and power management in data centers.

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.

As an AI Research Scientist, you will develop ML models, lead research projects, review AI literature, and explore new data sources.

The role requires leading AI agentic deployments, designing complex AI solutions, mentoring peers, and ensuring successful technical delivery for customers.