Top AI Jobs in Vancouver

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

As an AI Support Engineer, you'll handle customer issues, escalate unresolved problems, document failure modalities, and provide product testing feedback.

As a Staff Applied AI Engineer at Invoca, you'll architect and deploy AI systems, engineer advanced RAG systems, contribute to AI evaluations, optimize prompts, and ensure scalable and reliable AI model serving.

The AI Enablement Operations Lead coordinates logistics for workshops, manages connections between stakeholders, and transforms processes into scalable systems for high-impact engagements.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

Lead the management and optimization of corporate applications and AI systems, driving productivity and collaboration across global operations at Corinex.

As an AI Engineer, you will design and deploy scalable AI solutions, optimize models, integrate AI into enterprise environments, and monitor production AI systems while collaborating with various teams.

The Lead Analyst will leverage AI and Workday HCM expertise to enhance HR processes, automate workflows, and ensure system integrity through cross-functional collaboration and M&A integrations.

Serve as a product and legal-practice expert to drive adoption of Lexis+ AI with Protege at large law firms. Deliver onboarding, training, presentations, and account strategies to increase usage, retention, and growth. Build relationships with decision-makers, create customer-facing content, analyze usage data, and bring market insights to improve products.

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

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

Design and build conversational AI agents for customer service, ownership of agent systems from architecture to production, and implement safety and evaluation frameworks.

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

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

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

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 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.

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.

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

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

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 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.