Top AI Jobs in Vancouver

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

As an AI Process Forward Deployed Engineer, you will deploy enterprise workflows, improve systems, drive adoption, and collaborate across teams to enhance AI integration in business processes.

As a Senior Software Engineer, you will develop core data pipeline components for an AI-native data warehouse, oversee feature delivery, and ensure data quality and reliability.

Design, build, and operate production AI systems, enhance backend services, improve reliability, and collaborate on technical projects within the AI-native engineering team.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.

The Senior Product Manager will drive the AI product roadmap for Revenue Cycle Management, overseeing product lifecycle and collaboration with various teams to enhance billing workflows with AI integration.

Lead the go-to-market strategy for an AI-powered product, oversee product releases, collaborate with teams, and drive market positioning.

The Director of Product Management will lead product strategy for AI solutions in finance, focusing on innovation and collaboration across disciplines while managing customer relationships and rapid prototyping of financial applications.

The role involves end-to-end machine learning lifecycle management, including data processing, model development, rigorous testing, and production deployment, focusing on large quantitative models for AI-first products.

The Machine Learning Engineer will manage the ML lifecycle, develop models, ensure performance, and collaborate with a diverse team to build AI-first products.

Lead design and production deployment of an agentic AI platform for a cloud-native EHS/ESG SaaS. Build multi-agent state machines, scalable RAG pipelines, secure multi-tenant architectures, automated PII redaction, and observability for LLM routing, token cost control, and real-world latency/robustness. Collaborate with frontend teams to deliver dynamic widget-rendering APIs and serverless ingestion pipelines.

Lead product lifecycle for AI contact-center solutions (Natural Language IVR, Agent Assist). Define strategy, roadmap, personas, POCs, backlogs, go-to-market and adoption. Partner with technology, analytics, design and business stakeholders to deliver scalable, responsible AI products, manage budgets/timelines, and ensure risk-informed decisions and product performance.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Seeking a Chief of Staff for the Managing Director of AI to drive AI-enabled processes, client transformations, and organizational change. Responsibilities include strategic leadership, designing automated systems, managing client engagements, and ensuring effective AI integration across operations.

The Senior Software Engineer II will design and build backend features, evolve AI-native workflows, and enhance the payment infrastructure while collaborating closely with product teams to deliver high-quality solutions.

Part-time SEO & AI Search Specialist responsible for technical SEO audits, keyword and content strategy, schema implementation, AI search optimization, high-quality backlink acquisition, and monthly performance reporting to increase qualified organic traffic.

Lead and build Burq's data and ML platform: own warehouse, ingestion, semantic layer, and BI; architect and ship forecasting, optimization, matching, and reliability models; implement feature pipelines, training/serving, and monitoring; drive AI agent initiatives; hire and grow a data/ML team; set governance, intake processes, and partner with product, engineering, and commercial stakeholders to align models with business impact.

Design and implement high-performance graphics systems and pipelines for 3D generative AI products. Optimize rendering kernels and geometry processing on GPUs, integrate production-quality pipelines with data and model infrastructure, ensure scalability across GPU clusters and cloud, and collaborate with artists, ML researchers, and product teams. Contribute tooling, documentation, demos, and open-source work to advance Meshy's graphics capabilities.

Build and optimize end-to-end 3D ML systems: training frameworks, high-throughput distributed training across large GPU clusters, custom Triton/CUDA operators, data-loading libraries, and efficient multi-stage inference pipelines with model optimization (compilation, fusion, quantization). Collaborate with researchers on model architecture and maintain production inference endpoints.

Design and supervise technical architectures for intelligent agents and LLMs, implement MCP and A2A multi-agent flows, integrate vector stores and RAG, collaborate with MLOps for continuous deployment, memory and context management, and work with product, UX, data, and backend teams to align solutions with business needs.

Lead end-to-end feature development across diverse web stacks with a front-end emphasis, modernizing legacy SaaS applications while ensuring stability, test coverage, and secure deployments. Champion AI-augmented development practices and agentic coding tools to accelerate delivery, mentor engineers, and communicate progress to leadership.

Design, build, and operate LLM-facing backend services and evaluation systems. Develop prompts, context pipelines, tool-calling workflows, and retrieval systems. Measure and improve model grounding, consistency, latency, and cost. Ship production-ready solutions and rigorous regression/evaluation pipelines for real-world therapeutic data.

Senior front-end–leaning full-stack developer to own end-to-end feature delivery across diverse SaaS stacks. Use AI-augmented development tools to accelerate builds, modernize legacy systems, ensure test coverage and safe deployments, mentor junior engineers, and communicate progress to leadership while delivering polished, user-focused UI/UX.