Sr. System Analyst, GenAI Application

友邦今日之业务成就可追溯至1919年逾一个世纪前于上海的发源地。发展至今，集团业务已覆盖亚太区18个市场；在中国内地，业务覆盖北京、上海、广东、深圳、江苏等14个区域并持续加速扩张。

为此，我们需要具备在技术/数字/分析领域具备专业知识和饱满热情的伙伴，通过技术手段增强用户体验，以推动友邦实现更积极和可持续的数字化变革。这些体验将影响数百万人的生活，为其创造更美好的未来。如果您也相信技术将引领人们实现更好的明天，请继续阅读。

今天，希望通过这样一个全新的职业角色，为您开启一段「更好」的职业旅程：

Work with business users and other development teams to deal with technical solutions design, coding and deployment (e.g. Python, Database and web applications)，especially AI-powered intelligent claims review solutions (e.g. LLM, RAG, Agent/Workflow, Multimodal).

Provide strong maintenance support, including model performance monitoring, prompt engineering iteration, and system reliability enhancement to make sure the existing claim AI applications running smoothly and efficiently.

Roles and Responsibilities:

1. GenAI Claims Assessment — Application Development (30%)

Elicit and analyze business requirements, translating claims workflows into AI-ready technical specifications.

Design and implement Python-based AI services covering multimodal material recognition (documents, images), structured information extraction, and RAG-powered clause retrieval.

Develop case analysis, rule validation, risk alert, and review opinion generation modules using LLM reasoning and prompt engineering.

Build and maintain Agentic workflows with multi-step reasoning, tool calling, and seamless integration with core claims systems and rule engines.

Establish LLM evaluation and monitoring dashboards (accuracy, hallucination rate, latency, cost) to ensure review conclusions are traceable, auditable, and production-reliable.

Support GenAI claims assessment expansion across multiple business scenarios, delivering scalable and efficient solutions.

2. Systems Support & Maintenance (35%)

Troubleshoot and resolve issues for GenAI claims assessment services to ensure production stability and business continuity.

Own incident management end-to-end, including root cause analysis, resolution, and follow-up for application system issues.

Ensure all incidents are responded to and resolved within defined SLA targets.

Continuously optimize system performance through prompt iteration, RAG retrieval tuning, and model inference efficiency improvements.

3. Project Delivery (20%)

Lead or actively participate in projects through the full lifecycle — from requirements gathering, solution design, and development to deployment and post-launch review.

Coordinate effectively with internal and external teams to ensure on-target project delivery.

Manage vendor relationships and task assignments to maintain delivery quality and timeline control.

4. IT Processes & User Satisfaction Improvement (15%)

Adhere to IT standard processes and best practices for application development, CI/CD, and code quality to enhance team efficiency.

Produce and maintain high-quality technical documentation, including system design specs, API references, and operational runbooks.

Demonstrate strong communication skills in both oral and written forms, effectively bridging technical teams and business stakeholders.

Job Requirements:

Bachelor’s degree or above in Computer Science, Artificial Intelligence, Software Engineering, Mathematics, or a related discipline.

3+ years of hands-on experience in Python backend or AI/algorithm engineering, with proficiency in at least one AI agent orchestration framework (e.g., LangGraph, PydanticAI, DSPy, DeepAgents). Experience with Spring Boot, Spring AI, Tomcat, and Kubernetes (K8s) is a plus.

Solid experience with the RAG (Retrieval-Augmented Generation) technology stack, including embedding models, reranker models, hybrid retrieval strategies, metadata filtering, and citation/source tracing.

Familiar with relational databases, vector databases, caching, and object storage solutions (e.g., PostgreSQL, Elasticsearch / OpenSearch, Redis, MinIO).

1+ years of experience in project management, with demonstrated coordination and communication skills in working with business users and stakeholders.

Hands-on experience in NLP and knowledge graph technologies is a strong plus.

Good verbal, written and presentation communication skills of both mandarin and English

Life insurance knowledge is preferred

Prior experience in developing and maintaining GenAI claims assessment applications is preferred.

加入友邦，共创健康长久好生活

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