Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

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 business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

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 

Role Overview 

Design and deliver generative AI applications from the ground up, including context-augmented paradigms such as RAG/CAG and intelligent agent orchestration. 

Prioritize building operable, measurable, and scalable production-grade systems on Azure, ensuring performance, compliance, and cost optimization. 

Key Responsibilities 

Design and implement RAG/CAG-based application architectures: data ingestion, chunking and embeddings, retrieval and re-ranking, context injection, and response generation. 

Build and orchestrate multi-agent workflows: task decomposition and tool invocation. 

Use frameworks such as LangChain/LangGraph to implement end-to-end pipelines and integrate services (APIs, queues, event-driven). 

Set up AI and infrastructure services on Azure (preferred) or AWS/GCP (vector search, inference services, model hosting, monitoring and logging). 

Establish evaluation and monitoring systems: offline/online evaluation, A/B testing, data drift and data quality monitoring, cost and latency optimization. 

Implement prompt/tool/memory design and versioning to ensure reproducibility and maintainability. 

Drive engineering and automation: CI/CD and environment management. 

Produce technical documentation and best practices; support the evolution from PoC to production. 

Requirements (Must-Haves) 

Bachelor's degree in computer science or related field. 

2+ years of relevant work experience. 

Proficient written and spoken Japanese and strong written English; able to independently communicate with Japanese clients in Japanese. 

Strong communication, documentation, and interpersonal skills. 

Solid generative AI development skills; familiar with context-augmented generation paradigms such as RAG/CAG and common design patterns (chunking, embedding selection, vector indexing and re-ranking, context length/window management, cache augmentation). 

Hands-on agent development experience; understanding of task planning, tool invocation, memory/state, and LangGraph semantics (graph state, nodes, edges). 

Familiar with the LangChain/LangGraph ecosystem; able to implement custom chains, tools, executors, and callback-based monitoring. 

Familiar with Azure AI services and configurations: Azure OpenAI, Azure AI Search (vector retrieval), Bing Search grounding, etc. 

Strong software engineering skills: at least one primary language (Python/TypeScript), API design, unit/integration testing, performance tuning. 

Nice-to-Haves 

Experience using AI-assisted development tools (Claude Code, Agent Skills, Cursor, Copilot, OpenAI o3) with demonstrated impact. 

Experience with Power Platform (Copilot Studio, Power Apps, etc.) preferred. 

Experience in machine learning/data analysis: feature engineering, statistical analysis, model selection and hyperparameter tuning, A/B test design. 

Familiarity with other cloud platforms: AWS (Bedrock), GCP (Vertex AI, Big Query, Cloud Run). 

Strong understanding of the software development lifecycle; Agile experience preferred. 

Prior work experience in Japan or fluent spoken English is a plus. 

Travel Requirements

Job Posting End Date

六月 30, 2026