Experienced Associate - GenAI Software Engineer (PwC Acceleration Center Kuala Lumpur)

Industry/Sector

Technology

Specialism

Software Engineering

Management Level

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.

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.

Required Qualifications

• Experience: 1+ years in data science or applied ML with shipped solutions; strong Python proficiency.
• Practical LLM experience: Building RAG pipelines, prompt/chain design, and experience with supervised or adapter-based tuning (LoRA/QLoRA).
• NLP/ML Tooling: Proficiency with PyTorch or TensorFlow, scikit-learn, and the Hugging Face ecosystem.
• Web development: Familiarity with Python web frameworks (Flask, FastAPI) for AI model web applications.
• Cloud-native development: REST APIs, microservices, serverless functions.
• Retrieval & vector search: Experience with embeddings, vector databases, and ranking/re-ranking techniques.
• Evaluation & experimentation: Designing metrics, A/B testing with sound statistical methods.
• Data skills: Strong SQL abilities; working with data lakes/warehouses and orchestration tools.
• MLOps/LLMOps: Experiment tracking (MLflow/Weights & Biases), model packaging, CI/CD for ML, monitoring, and incident response.
• Cloud deployment: Experience with Azure and/or AWS; containerization with Docker and Kubernetes.
• Communication: Ability to translate business needs into technical plans and communicate results clearly to diverse audiences.

Preferred Skills

• Frameworks: LangChain, Semantic Kernel, LlamaIndex; Azure OpenAI/OpenAI/Anthropic; Guardrails/safety toolkits (e.g., Azure AI Content Safety, Presidio).
• Fine-tuning & data generation: Dataset curation, synthetic data creation, RLHF/RLAIF exposure.
• Agents & tool-use: Function calling, planning, orchestration of multi-step agents.
• Performance engineering: Model distillation, quantization, ONNX/Triton, Ray for scaling.
• Event-driven integration: Kafka/Event Hubs, streaming inference with backpressure and retries.
• Certifications: Azure AI Engineer/Data Scientist, Databricks, or AWS ML Specialty.

Travel Requirements

Not Specified

Job Posting End Date