IN_Senior Associate_GenAI and Agentic AI _GCC_Advisory_Pune
PwC India (company site, opens in a new tab)3–7 yrsPuneOn-siteDirect career pageEst. 18–35 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy generative AI solutions using Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and multi-agent frameworks for enterprise use cases.
- Build and scale AI systems integrated with graph-based memory and tool-using agents to enhance LLM capabilities and implement multi-agent orchestration and reasoning.
- Collaborate with cross-functional teams to translate business requirements into scalable, production-ready GenAI-powered systems while ensuring scalability, reliability, and maintainability.
Minimum Requirements
- 3 to 7 years total experience in AI/ML or software engineering with minimum 2 years hands-on in building and deploying generative AI systems.
- Proficiency in Python and cloud-native deployments (APIs, containers, microservices).
- Experience with LLMs such as GPT-4, Claude 2/Gemini and with RAG systems and multi-agent frameworks like LangGraph, LangChain, or AutoGen.
- Bachelor’s degree in Computer Science, Engineering, or related field. Location: Pan India. Work Experience Required: 3-7 years.
Ideal Candidate Profile
- Experienced AI Engineer with strong expertise in generative AI, particularly in real-world production deployment of GenAI and multi-agent systems.
- Proven ability in advanced AI architectures such as tool-using agents and memory-augmented cognitive systems.
- Skilled in collaboration across functions to deliver scalable AI solutions with strong software engineering discipline in code quality, testing, and CI/CD.