Top AI Jobs in Vancouver

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Customer Success Manager engages with enterprise customers, ensuring retention, adoption, and technical value of cybersecurity solutions through proactive management and technical guidance.

Lead the development of an AI platform and orchestration components, enabling the deployment of intelligent agents and RAG pipelines, collaborating with cross-functional teams to integrate AI capabilities into workflows.

The Senior Network Automation & AI Engineer will develop automation solutions using Python and modern frameworks, focusing on AI workflows and infrastructure efficiency across global operations.

The role involves designing and integrating intelligent translation workflows using machine translation, generative AI, and prompt engineering, ensuring compliance and performance optimization.

Lead the adoption of AI tools across business functions at EviSmart by mapping workflows, developing training resources, and driving usage within teams.

The Circuit Analysis Engineer will design, implement, and maintain software for transistor-level circuit simulation using AI frameworks, collaborating with engineering teams.

As AI Resilience Fund Manager, you will build and run a fund focused on long-term investments resilient to disruptions caused by AI and economic instability.

The Director of Accounting, AI Operations will manage accounting functions across 13 brands, enhance automation through AI, ensuring a faster financial close. Responsibilities include overseeing reconciliations, improving financial reporting, and optimizing accounting operations.

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

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

As a Technical Recruiter at Lazer, you will source and screen technical talent, manage candidate communications, maintain records in the ATS, and automate sourcing tasks using AI tools.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Sales Executive for Hyperscalers & AI is responsible for developing strategic relationships, driving revenue growth, and closing large-scale sales opportunities in the hyperscaler and AI sectors.

The Senior Software Architect will define the AI-driven architecture for software development, leading teams in cloud-native modernization and integrating AI into development practices across multiple products.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The Forward Deployed AI Strategist leads AI transformation strategy and execution for organizations, engaging with C-level clients to define and implement technology roadmaps that enhance software development processes and business value.

As a Senior Data Engineer, you'll build and manage scalable data platforms using AI tools to process high-volume data and support analytics. You'll own the data lifecycle, architect data models, and automate workflows, enhancing data accessibility for product and analytics teams.

Looking for a Staff AI Productivity Engineer to enhance the effectiveness of AI coding tools within engineering. Responsibilities include building infrastructure, integrations, and documentation to improve AI productivity across the codebase.

The Lead Product Designer will focus on designing AI capabilities for Piper, an AI SDR, while collaborating closely with engineers and machine learning teams. Responsibilities include creating intuitive interfaces for AI behavior and live chat experiences to enhance user trust and interaction effectiveness.

The role involves leading AI adoption in marketing operations to enhance pipeline performance and streamline processes. Responsibilities include designing AI-driven workflows, managing demand infrastructure, ensuring data integrity, and aligning marketing efforts with revenue operations. Strong emphasis on measurable impact and team collaboration is essential.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

This role involves optimizing AI systems for large model training and inference, focusing on performance, efficiency, and usability using low-precision training and reinforcement learning techniques.