Associate – GenAI and Agentic AI, Advisory

Overview

Design, build and deploy GenAI and agentic AI solutions, including Retrieval-Augmented Generation (RAG) systems and multi-agent frameworks, for enterprise clients within PwC's Advisory practice.

What you'll do

• Design, develop and deploy GenAI solutions with a focus on real-world production readiness.
• Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
• Integrate graph-based memory and tool-using agents to enhance LLM capabilities.
• Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
• Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).
• Write clean, efficient and scalable code in Python (or other languages as needed).
• Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems.
• Ensure system scalability, reliability and maintainability through strong software engineering practices.

What you'll need

• 3–7 years of total experience in AI/ML or software engineering.
• Minimum 2 years of hands-on experience in building and deploying GenAI systems.
• Experience working with LLMs such as GPT-4, Claude 2/Gemini, etc.
• Strong hands-on knowledge of RAG systems and multi-agent frameworks like LangGraph, LangChain, or AutoGen.
• Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices).
• Solid understanding of software engineering best practices, including version control, testing and CI/CD.
• Experience working with graph-based memory and LLM tool use patterns.
• Education: Bachelor's degree in Computer Science, Engineering or a related field.

Nice to have

• Experience with tool-using agents, memory-augmented architectures or cognitive architectures.
• Prior contributions to open-source GenAI or agent frameworks.
• Familiarity with Azure OpenAI, AWS Bedrock or other cloud-based LLM services.
• Background in optimization, evaluation and prompt engineering for LLM systems.
• Experience deploying AI systems in production environments and maintaining performance at scale.

Details

• Location: Pan India (listed location: Bengaluru Millenia).
• Visa sponsorship: not offered.
• Government clearance: not required.
• Job posting end date: September 15, 2026.