IN_Senior Associate_GenAI and Agentic AI_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy production-ready Generative AI (GenAI) solutions including Retrieval-Augmented Generation (RAG) systems and multi-agent frameworks for enterprise use cases.
- Integrate and enhance Large Language Model (LLM) capabilities using graph-based memory and tool-using agents like LangChain, AutoGen, and LangGraph.
- Ensure scalability, reliability, and maintainability of AI systems following strong software engineering practices, collaborating with cross-functional teams to translate business needs into AI-powered systems.
Minimum Requirements
- 3 to 7 years of total experience in AI/ML or software engineering with at least 2 years in building and deploying Generative AI systems.
- Proficiency with LLMs such as GPT-4, Claude 2, or Gemini, and hands-on experience with RAG and multi-agent frameworks like LangGraph, LangChain, or AutoGen.
- Strong programming skills in Python and familiarity with cloud-native deployments (APIs, containers, microservices).
- Bachelor’s degree in Computer Science, Engineering, or related field; MBA or Bachelor of Engineering mentioned.
Ideal Candidate Profile
- Experienced AI engineer skilled in deploying scalable, production-ready GenAI solutions and integrating multiple AI frameworks.
- Familiar with advanced AI architectures involving multi-agent orchestration, graph-based memory, and tool-using agents, demonstrating deep domain expertise.
- Practices strong software engineering principles to build reliable, maintainable AI systems in a collaborative, cross-functional environment.