AI Solution Developer Senior Associate
AI Solution Developer Senior Associate
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Job Description
Industry/Sector
Not ApplicableSpecialism
Cybersecurity & PrivacyManagement Level
Senior AssociateJob Description & Summary
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.
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 isnt 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 Firms code of conduct and independence requirements.
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. Youll 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
4 Years- 8 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.
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
