At PwC, our people in legal services offer comprehensive legal solutions and advice to internal stakeholders and clients, maintaining compliance with regulations and minimising legal risks. These individuals provide strategic guidance and support across various industries. In privacy law and data protection at PwC, you will specialise in providing advice and guidance to clients on privacy laws and data protection regulations. You will help businesses navigate the complex landscape of privacy and data protection requirements, confirming compliance with applicable laws and regulations. Working in this area, you will assist in developing privacy policies, conducting privacy impact assessments, and implementing data protection measures to safeguard personal information.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- 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.
About The Role
We are looking for a skilled AI Solution Developer to design and deploy modular AI solutions as part of our AI-in-a-Box initiative. This role combines hands-on AI/ML development, solution architecture, and end-to-end lifecycle management. You’ll work with advanced AI technologies such as LLMs, RAG pipelines, microservices, Vector Database and Knowledge Graph to build deployable solutions (Activate, Deactivate, Remove) from the Client environment with ease.
Minimum Years Experience Required
8 Years - 12 Years
Key Responsibilities
- Design and build modular AI solutions using LangChain, Semantic Kernel, or custom pipelines.
- Develop APIs and AI agents for use cases like summarization, Q&A, and chatbots.
- Work with business teams to translate requirements into technical solutions.
- Build data pipelines to ingest content from platforms like SharePoint and databases.
- Containerize solutions and deploy them across cloud environments (Azure AKS, App Service) using Docker and CI/CD pipelines.
- Track performance metrics, logs, and telemetry continuously improve retrieval quality, and latency etc.
Required Skills
- Strong Python skills and experience with AI libraries (LangChain, Transformers, OpenAI SDK, LLaMA/LLM APIs).
- Experience with RAG pipelines, knowledge of embedding models and Prompt Design.
- Familiarity with Knowledge Graphs (Apache Jena, SPARQL) and KG-based retrieval in LLM pipelines.
- Hands-on with Vector Database like Pinecone, Chroma or similar.
- Ability to develop and deploy microservices (FastAPI, Flask).
- Cloud deployment skills with Azure (AKS, App Service, ACI) and DevOps tools (GitHub Actions, Azure Pipelines).
- Experience integrating with enterprise tools like Outlook, Teams, and Salesforce.
Preferred Experience
- Delivery of at least 2 AI projects (PoC or production).
- Strong collaboration with business and technical stakeholders.
- Knowledge of Responsible AI practices, including evaluation and testing
- Familiarity with packaging and managing AI lifecycles.
