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.
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
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.
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Travel Requirements
0%
Job Posting End Date
十一月 17, 2026
