Top AI Jobs in Vancouver

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

Lead the integration of AI into enterprise applications by providing strategic guidance, conducting research, mentoring team members, and advising clients on best practices.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

This role involves leading post-sale adoption initiatives for enterprise accounts, guiding clients through onboarding, ensuring strategic outcomes, and fostering relationships with stakeholders while addressing technical challenges and collaborating cross-functionally.

The Technology & AI Learning Specialist delivers technical training programs, manages projects, collaborates with stakeholders, and designs engaging curricula for attorneys and staff.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Lead product direction for the platform at Lattice, enhancing product velocity and reliability, while managing and developing product managers and collaborating with engineering and design teams to ensure high-quality outcomes.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a Senior Full Stack Engineer, you'll develop user-facing features and back-end infrastructure for AI agents, ensuring quality and scalability in a collaborative environment.

The Senior Software Engineer will build AI-powered features, collaborate across teams to enhance user experience, and optimize AI models for performance and security.

The AI Architect will define and implement AI strategies, oversee architecture and technical leadership, and ensure the effective use of AI across product engineering teams.

The AI Marketing Specialist will lead AI integration into digital marketing, manage initiatives, and collaborate with teams to enhance customer engagement and operational efficiency.

Design scalable data pipelines and support AI/ML workflows by collaborating with teams to enable LLM-powered applications and develop data models.

The SEO Specialist (AI Search) will use generative AI to enhance SEO content, optimize customer journeys, and drive eCommerce revenue, while also handling chatbots and personalization strategies.

The Principal Software Engineer will design and build the core microservices architecture for the Agentic AI Platform, focusing on identity services, security, and AI integration while mentoring others in secure development practices.

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 AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

The Director of Conversational AI Agents leads the development of AI solutions, manages a team, drives innovation, and engages with clients to enhance customer experiences.