Guidewire--AI Engineer--SA2--Shanghai

Industry/Sector

Not Applicable

Specialism

Functional & Industry Technologies

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Generative AI Engineer

Responsible for designing and delivering generative AI applications from scratch, including context-enhancement paradigms such as RAG (Retrieval-Augmented Generation), CAG (Context-Augmented Generation), and intelligent agent orchestration.  
Priority is given to delivering production-grade systems on Azure that are maintainable, measurable, scalable, and ensure performance, compliance, and cost optimization.

**Key Responsibilities**

- Design and implement application architectures based on RAG/CAG: data ingestion, chunking and embedding, retrieval and re-ranking, context injection, and response generation.  
- Build and orchestrate multi-agent workflows: task decomposition, tool invocation.  
- Develop end-to-end pipelines and service integrations using frameworks like LangChain, LangGraph (API, queuing, event-driven).  
- Deploy AI and infrastructure services on Azure (preferred) or AWS/GCP, including vector search, inference services, model hosting, monitoring, and logging.  
- Establish evaluation and monitoring systems: offline/online evaluation, A/B testing, data drift and quality monitoring, cost and latency optimization.  
- Implement prompt/tool/memory designs with version control to ensure reproducibility and maintainability.  
- Promote engineering practices and automation: CI/CD, environment management.

**Requirements (Must Have)**

- Bachelor’s degree in Computer Science or related fields.  
- More than 3 years of relevant work experience.  
- Proficient spoken English skills.  
- Good communication, documentation, and interpersonal skills.  
- Solid generative AI development skills, familiar with context-enhanced generation paradigms such as RAG/CAG and common design patterns (chunking, embedding selection, vector indexing and re-ranking, context length/window management, cache enhancement).  
- Practical experience in agent development, understanding task planning, tool invocation, memory/state management, and graph semantics (states/nodes/edges) in LangGraph.  
- Familiar with LangChain, LangGraph ecosystems and capable of customizing chains, tools, executors, and callback monitoring.  
- Experienced with AI-related services and configurations on Azure such as Azure OpenAI, Azure AI Search (vector retrieval), Grounding Bing Search, etc.  
- Strong software engineering skills: proficiency in at least one main language (Python/TypeScript), API design, unit/integration testing, and performance tuning.

**Preferred Qualifications**

- Experience using AI-assisted development tools such as Claude Code, AgentSkills, Cursor, Copilot, OpenAI o3 with demonstrated practical outcomes.  
- Experience with Power Platform (Copilot Studio, Power Apps, etc.) is a plus.  
- Machine learning/data analysis experience: feature engineering, statistical analysis, model selection and tuning, A/B test design.  
- Familiarity with other cloud platforms: AWS (Bedrock), GCP (Vertex AI, BigQuery, Cloud Run).  
- Good understanding of software development lifecycle; Agile experience is a plus.

Travel Requirements

0%

Job Posting End Date

十月 31, 2026