Top AI Jobs in Vancouver

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

As an AI Product Manager, you'll own the AI product roadmap, prioritize customer feedback, partner with engineering, and drive data-informed decisions to enhance product quality.

Lead the delivery of AI-powered agents, collaborating with teams, managing early adopter programs, and advocating for AI capabilities to enhance customer experience.

The Software Engineer III for AI Tooling designs and implements complex software solutions, providing technical guidance, mentoring junior engineers, and optimizing performance in collaboration with cross-functional teams.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Senior Product Manager will lead AI contract intelligence solutions, driving product vision, adoption metrics, and cross-functional collaboration to enhance customer value.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design, build, and own the end-to-end model platform: training/fine-tuning pipelines, RL workflows, data ingestion/curation, reproducible experiments, scalable inference services, and production deployment.

Design and build scalable AI systems for video processing, optimize performance, and implement production pipelines for AI models.

As a Senior AI Engineer, you'll design and build scalable AI systems, optimize data pipelines, and integrate LLM advancements, mentoring teammates and influencing product discussions.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

The Software Engineer will design, implement, and maintain software for transistor-level circuit simulation, integrating AI in EDA tools.

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

The GTM AI Transformation Manager will enhance Clio's go-to-market strategies using AI by analyzing customer journeys and integrating AI solutions into workflows. They will collaborate across teams to drive initiatives that improve efficiency and revenue outcomes while conducting research on emerging technologies.

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.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Lead and scale the organization's AI strategy, teams, and AWS-based AI platform. Drive generative/agentic AI, recommendation/personalization, MLops, governance, metrics, experimentation, and cross-functional adoption to deliver measurable business outcomes.

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 role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.

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