Top AI Jobs in Vancouver

Full-cycle technical recruiter embedded with hiring teams to source Insurtech, AI, engineering, DSML, product, and go-to-market talent; build proactive pipelines, leverage AI tools, provide market intelligence, and partner with leaders to deliver quality candidate slates.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Perform French-Canadian language annotation and rating tasks for AI training data with high accuracy, meet deadlines, research as needed, and communicate in French-Canadian and English. Temporary, part-time freelance role (15–20 hrs/week) with NDA requirement.

The role involves designing AI-driven accounting solutions, building custom tools, integrating automation, and improving processes independently while collaborating with teams.

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

Lead QA strategy and implementation for an AI-first engineering org. Architect scalable automated testing across backend, frontend, APIs, and AI features. Build AI-agent-driven QA workflows, integrate LLM tooling into CI/CD, set quality metrics and SLAs, and drive cross-functional quality ownership. Mentor engineers and transition teams from traditional QA to autonomous, AI-enhanced quality systems.

Design, build, operate, and scale production-grade AI orchestration systems (RAG, agents, pipelines). Implement evaluation, observability, MLOps, and secure microservices; collaborate cross-functionally and mentor engineers.

The Senior AI Operations Manager will ensure AI models are reliable by developing training methodologies, creating behavioral rules, and overseeing the deployment of AI systems across various operational functions.

The CX Bot Enablement Specialist will design, operate, and improve a customer-facing AI bot, enhancing customer experience and operational efficiency.

The Lead AI Engineer will architect and guide the development of enterprise AI agents, mentor senior engineers, and ensure alignment with strategic goals.

The Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The Full Stack Software Engineer will develop user-facing features and back-end infrastructure for autonomous AI agents, ensuring performance and usability.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

Architect, build, and operate end-to-end agentic AI systems: from problem framing, modeling, training and evaluation to production deployment, monitoring, and iteration. Integrate LLMs, RAG, and knowledge-augmented systems, improve reliability/observability, and deliver AI-driven products like recommendations, personalization, search, forecasting, and fraud detection while collaborating cross-functionally.

Design, build, and maintain scalable cloud infrastructure for AI systems using AWS, Terraform, and Kubernetes. Implement CI/CD pipelines, automate operational tasks with scripting, ensure security, monitoring, and cost optimization, and collaborate with cross-functional teams to deliver production-ready generative AI solutions.

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

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.

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

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.

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