Generative AI- Data Scientist-Senior Associate
PwC (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy agentic AI systems and solutions using cloud-native services for complex enterprise use cases.
- Design and optimize retrieval-augmented generation (RAG) pipelines and prompt engineering strategies to enhance LLM-powered applications.
- Collaborate cross-functionally to translate business requirements into technical implementations, monitor performance metrics, and communicate technical insights to stakeholders.
Minimum Requirements
- Bachelor's and Master's degrees are mandatory.
- Minimum 2 years of relevant work experience.
- Proficiency in English (oral and written) is required.
- Experience with Python development and cloud platforms (AWS, Azure, or GCP) is implied but not explicitly stated as mandatory for entry.
Ideal Candidate Profile
- Demonstrated experience in building and deploying production-grade Agentic AI solutions using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
- Strong knowledge of AI interoperability protocols (MCP, A2A) and advanced RAG architectures including Graph, Vectorless, and Hybrid RAG.
- Hands-on experience with traditional AI/ML fundamentals (model building, fine-tuning, quantization) and awareness of Responsible AI and security practices.