Top AI Jobs in Vancouver

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.

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.

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.

The Agentic AI Engineer is responsible for deploying, executing, and improving Machine Learning solutions, creating scalable systems, and collaborating with teams to drive strategy and business value through analytics.

The AI Solutions Architect will lead the design and implementation of AI-driven IT systems, focusing on automation, security, and scalability. This role involves collaboration across departments, driving AI initiatives, and optimizing IT processes with cutting-edge technologies.

The Head of Product will lead the AIVM initiative, translating company vision into product strategy and managing the product lifecycle from development to market launch, with a focus on AI and blockchain integration.

As a Full-Stack Software Developer, you will build AI systems, design low-code AI agent solutions, and integrate AI functionalities across the platform. Responsibilities include developing GraphQL APIs and reusable AI components while collaborating with design teams.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.