Top AI Jobs in Vancouver

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Lead the go-to-market strategy for Deel's AI & Platform products, ensuring alignment across departments and driving product success through market research and compelling messaging.

The Senior Backend Engineer will develop 3D AutoReview features, manage pipeline architecture, collaborate with teams, and maintain high technical standards in backend development.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

As a Senior Machine Learning Engineer, you'll lead ML projects, design systems for recommendation and ranking, and collaborate cross-functionally to enhance AI insights from vast datasets.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

As an AI Solution Engineer, you will build AI-powered automation workflows, collaborate with cross-functional teams, and support Azure services to enhance corporate operations.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The Director/Senior Director of AI will lead a small engineering team, manage AI initiatives, advise on AI strategy, and ensure compliance. Responsibilities include establishing AI practices, scaling the team, and delivering impactful AI solutions across departments.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

Lead the vision and execution of the AI Agents Platform, integrating AI into customer experiences while defining product strategy and requirements. Collaborate across teams to enhance user experience and drive product success.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Develop AI-powered features and optimize performance using LLM frameworks. Collaborate with teams and innovate with AI technologies in a production setting.

As a Senior Director, you'll lead AI platforms research, provide insights to clients, present at events, and collaborate across teams.

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

Develop and maintain a platform for AI agents, focusing on multi-agent collaboration, workflow management, and compliance with AI privacy standards.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.