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Sun Life

Global financial services for insurance, investments

Manager – Software Design Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHung Hom, Hong KongNo salary listedIn-person

About the Job

Requirements

  • A degree in an engineering-related subject and at least 5 years of industry experience.
  • Experience in design engineering, product engineering, forward deployed engineering, solutions engineering, innovation consulting, or rapid product development.
  • A portfolio demonstrating strong interface design and functional product prototypes.
  • Experience working directly with business stakeholders and end users.
  • Experience conducting discovery sessions, design workshops, prototype reviews, or user testing.
  • Experience building enterprise applications, internal tools, workflow products, or AI-enabled interfaces.
  • Experience presenting and demonstrating products to senior or non-technical stakeholders.
  • Strong proficiency in React.js and Next.js, or comparable experience with Vue.js and Nuxt.js.
  • Deep proficiency in TypeScript, JavaScript, HTML, and CSS.
  • Experience with Tailwind CSS, CSS Modules, and modern UI component libraries such as shadcn/ui, Material UI, or Radix UI.
  • Strong understanding of user journeys, interaction design, information architecture, usability, responsive design, and visual hierarchy.
  • Experience with state-management and data-fetching tools such as Zustand, Redux Toolkit, TanStack Query, or SWR.
  • Experience with WebSockets, Server-Sent Events, streaming AI interfaces, and interactive data visualisation libraries such as Recharts, D3.js, or Chart.js.
  • Experience with Figma, generative UI tools, design systems, wireframing, or interactive prototyping platforms.
  • Practical experience using AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, or Cline.
  • Experience using AI UI/UX generator platforms such as v0, Bolt, Lovable, or Figma-to-code tools.
  • Hands-on experience integrating APIs from OpenAI, Anthropic, Google, local models, or internal AI services into user-facing applications.
  • Familiarity with streaming responses, structured outputs, tool calling, conversational interfaces, human review workflows, and agentic user experiences.
  • Working knowledge of Node.js, Express, NestJS, Python, FastAPI, Flask, or serverless functions.
  • Familiarity with PostgreSQL, MongoDB, Redis, or other lightweight storage solutions.
  • Experience deploying prototypes using Vercel, AWS, Azure, Docker, or comparable platforms.
  • Ability to work with REST APIs, authentication flows, mock services, internal platforms, and external cloud services.
  • Ability to support a prototype end to end and recognise when production engineering, security, infrastructure, or architecture specialists should take over.

Responsibilities

  • Lead the end-to-end design and development of functional web and mobile-friendly Proof-of-Concepts and Minimum Viable Products on accelerated timelines, typically days to weeks.
  • Turn abstract AI capabilities, business ideas, and user requirements into tangible product experiences that stakeholders can interact with and evaluate; use rapid prototyping to clarify business requirements rather than produce a production-ready product.
  • Use practical, lightweight technical approaches to validate concepts quickly without unnecessarily over-engineering early-stage solutions.
  • Build responsive, performant, visually engaging frontend applications using modern frameworks such as React.js and Next.js, or Vue.js and Nuxt.js.
  • Develop reusable interface components, interactive workflows, dashboards, data visualisations, and streaming AI experiences.
  • Balance development speed, usability, visual quality, and technical credibility.
  • Design intuitive, user-centered interfaces that make complex workflows and AI capabilities easy to understand.
  • Create user journeys, interactive mock-ups, working prototypes, and presentation-ready demonstrations.
  • Define how users interact with AI-generated information, including providing inputs, reviewing results, understanding recommendations, correcting outputs, and making decisions.
  • Ensure the product experience communicates AI value clearly without exposing unnecessary technical complexity.
  • Work with AI specialists to determine an appropriate compromise among accuracy, performance, operating cost, and compliance with local Hong Kong PDPO privacy and HKIA GL guidelines.
  • Integrate AI services, APIs, models, and workflows into coherent user-facing products.
  • Translate technical AI outputs into meaningful product interactions, visual explanations, decision-support tools, and human review workflows.
  • Make AI technologies useful, understandable, and compelling as products.

Desired Qualifications

  • Experience in insurance, financial services, fintech, insurtech, or another regulated industry is advantageous.
  • Familiarity with AI application frameworks such as the Vercel AI SDK, LangChain, or LlamaIndex is beneficial.

About the Company

Sun Life

Global financial services for insurance, investments

Sun Life provides a wide range of financial services worldwide, mainly through life and health insurance, financial planning, and investment solutions for individuals, businesses, and institutions. Its products work by collecting premiums for insurance coverage, fees for planning services, and returns on investments; these funds are used to pay claims, support financial planning advice, and generate investment gains. What sets Sun Life apart is its global presence across Canada, the United States, Asia, and Europe, plus a comprehensive product lineup and a focus on helping clients achieve financial security and healthier lives, rather than relying on a single product. The company aims to grow and manage wealth for clients while pursuing sustainability goals, including net zero emissions by 2050.

Company size
10,001+
Company stage
IPO
Headquarters
United States
Founded
1865

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