Top AI Jobs in Vancouver

As a Product Manager Intern at OpusClip, you'll gather user feedback, test AI features, and support product development efforts.

As a Software Engineer, you'll design intelligent systems to process data from numerous sources, develop AI capabilities, and create efficient data pipelines that enhance sales effectiveness.

Revic seeks a Sr. Software Engineer (Applied AI) to design data pipelines and AI systems for sales data, ensuring reliable and efficient processing from multiple sources. The role involves building coherent systems and maximizing revenue while managing complexity in an AI-native platform.

Seeking a Product Owner for AI Platform Tooling to lead AI initiatives, manage backlogs, and ensure efficient development practices within Agile frameworks.

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

The Lead AI Engineer will design multi-agent systems for an enterprise SaaS product, leveraging generative AI technologies and frameworks while collaborating within a dynamic team.

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.

As a Senior/Principal Machine Learning Engineer, you will design and develop generative AI models, lead technical vision, and mentor a team, focusing on AI-driven solutions for the AEC industry.

As a Full Stack Software Engineer with Evisort, you'll enhance our AI-driven contract management platform, collaborating with cross-functional teams to deliver scalable solutions.

Develop scalable APIs and backend solutions for Salesforce and Workday. Ensure security, performance, and reliable integrations with various systems.

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

The role requires onboarding clients, gathering requirements, launching AI systems within 72 hours, managing client communications, and ensuring system optimization for performance improvement.

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

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

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.

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.

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.

Lead AI and technology enablement projects, advising clients and overseeing team delivery. Ensure client satisfaction and drive business development efforts.

As a Full Stack Software Engineer, you will enhance and expand Evisort's AI-driven contract management platform, collaborating with cross-functional teams to deliver scalable solutions.

Lead the evolution of Service Desk operations with a focus on AI-driven automation, platform ownership, and integration of SaaS systems.

As a Senior AI Modeling Engineer, you will develop and implement AI models, mentor junior engineers, and collaborate on platform development using Python APIs and modern deep learning architectures.

This internship focuses on AI research, specifically in natural language processing. Responsibilities include designing caching systems, developing retrieval mechanisms, and conducting experiments with NLP models.

This internship involves working on NLP and AI research, focusing on designing semantic systems, developing retrieval mechanisms, and experimenting with advanced models.