Top AI Jobs in Vancouver

The role involves leading quality assurance by automating tests, enhancing platform scalability, mentoring SDETs, and collaborating with engineering teams on a SaaS contract management platform.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

Design and build an end-to-end AI-governed control plane for release QA: generate spec-driven test plans and cases with LLMs, prioritize and execute tests, automate root-cause analysis and bug lifecycle, and autonomously produce documentation and videos while embedding governance and human oversight.

Lead design, development, and integration of AI/ML features into FortiAnalyzer for security analytics, anomaly detection, and automated response. Manage software developers and data scientists, oversee full ML pipeline (data, training, deployment, optimization), ensure production scalability and security, and collaborate with product, security, and engineering teams.

Lead product and strategy operations for a large engineering department: own OKR/QBR cycles, roadmaps, weekly execution alignment, centralize artifacts, transform workflows to AI-native, coordinate cross-functional intake, flag risks, and drive high-priority cross-functional projects from inception to launch.

The Senior AI Solutions Engineer will architect and deploy AI systems on Google Cloud, collaborating with clients and delivery teams to create enterprise-ready solutions.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

The Staff Product Manager, AI will lead the development of a new AI-native product for enhancing grid resilience, focusing on customer needs and product iteration from initial concept to market release.

Own and engineer Life360's enterprise identity platform: architect SSO, lifecycle workflows, MFA, group provisioning in IaC, automate access governance, device trust, and consolidate legacy identity. Build IAM KPIs, codify provisioning in Terraform, integrate with HR and access-request tooling, and use AI coding agents to draft and validate infrastructure and policy changes.

Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.

Build production AI agents, LLM apps, RAG and retrieval-based systems, tool-calling and automations for fintech workflows (onboarding, KYC, risk, CRM). Ship, evaluate, and improve reliable AI-enabled systems with product and engineering teams, addressing latency, cost, security and compliance.

Lead high-volume outbound prospecting, run discovery calls, qualify and manage high-ticket opportunities through the full sales cycle, book and conduct meetings, handle objections, collaborate with founders/sales leadership, and consistently meet outreach, meeting, and revenue KPIs.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

The Staff Product Designer will craft user experiences for AI-based products, ensuring high-quality execution and collaborating across teams to define future AI UX.

Lead development of agentic AI features and shared platform components for a multi-tenant SaaS finance platform. Design LLM orchestration, CI/CD, deployment pipelines, observability, scalable background processing, ingestion and search systems, and PostgreSQL optimization. Drive technical vision, mentor engineers, and deliver production-grade, secure, and observable AI-first solutions end-to-end.

Lead design and implementation of production-grade multi-agent AI frameworks and orchestration. Integrate and optimize LLM workflows, build AI developer tooling, establish benchmarking and evaluation for agent reliability, mentor engineers, and set architecture and performance standards for scalable autonomous capabilities.

Lead technical architecture and hands-on full-stack development for an AI-powered XR training platform. Define cloud-native solutions, APIs, AI integrations (LLMs, RAG, agents), engineering standards, roadmaps, and mentor developers to deliver scalable, maintainable enterprise-grade software.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.