Top Tech Jobs & Startup Jobs in Vancouver

Own end-to-end policy configuration on the XCore platform, translating stakeholder requirements into Python expressions and structured inputs for an AI Policy Agent. Responsibilities include policy specification, pricing, testing, financial validation, portfolio management, documentation, automated test maintenance, and post-launch issue resolution. The role requires validating AI-generated output against underwriting rules, pricing sheets, and specifications while collaborating with business stakeholders and maintaining accurate delivery estimates.

Build and maintain distributed partner solutions across backend services, batch pipelines, frontends, and infrastructure. Design APIs and third-party integrations, implement Infrastructure as Code, integrate AI development tools, monitor production reliability, troubleshoot issues, and collaborate with product managers, QA, engineers, and external partners. Produce technical documentation, participate in architecture discussions, and contribute to code quality, platform stability, observability, and Agile delivery.

Designs, evaluates, and ships production agentic AI systems for claims, customer operations, and partner-facing products. The role establishes architectures, evaluation frameworks, safety controls, metrics, and reusable engineering patterns. It requires hands-on LLM development, error analysis, technical leadership without authority, mentoring, cross-functional collaboration, and assessing new AI opportunities through rapid proofs of concept.

Leads an engineering team building partner-facing analytics and data products, including Claims Benefit Intelligence and Sales Dashboard. Owns technical roadmaps, metrics governance, reliability, data quality, and operational excellence. Develops production-grade agentic AI features with evaluation and guardrails while partnering across Product, Data, AI, Insurance Operations, and commercial teams. The role also requires growing engineers, guiding AI-assisted development, and ensuring insights drive partner decisions.

Own the company-wide data strategy, data product roadmap, platform architecture, governance, and quality frameworks. Lead adoption of a trusted shared data foundation supporting business domains and AI/ML workloads. Partner with commercial, engineering, product, analytics, and data science teams to create valuable partner-facing data propositions. Build and develop a high-performing data organization while influencing executives and partners in a regulated environment.

Own the strategy, roadmap, development, and execution of Agentic Insights and other data products. Identify proprietary signals across company datasets and transform them into scalable, partner-facing AI-powered insights. Collaborate with engineering, design, operations, and partners; prioritize the backlog; analyze user feedback and product metrics; and deliver products that improve partner decision-making and business outcomes.

Actuary supporting pricing, segmentation, risk management, product development, and portfolio optimization for property and casualty insurance products. Responsibilities include pricing reviews, loss-ratio monitoring, underwriting recommendations, stakeholder collaboration, data modeling, and dashboard development. The role requires actuarial expertise, strong analytical skills, SQL and Excel proficiency, and experience communicating insights to technical and non-technical stakeholders.