Guidewire--AI Engineer--Associate--Shanghai
Job Description
Industry/Sector
Not ApplicableSpecialism
Functional & Industry TechnologiesManagement Level
AssociateJob 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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
Generative AI Engineer
**Job Overview**
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.
- 1 to 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
Up to 20%Job Posting End Date
八月 31, 2026