IN_Senior Associate_Agentic AI & GenAI_D&A_Advisory_Pune

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.

Job Position Title:

IN_Senior Associate_Agentic AI & GenAI_D&A_Advisory_Kolkata

Responsibilities:

Role : Gen-AI / Agentic AI Automation Engineer

Designation : Senior Associate

Location : Pune (3), Kolkata (3), Bangalore (1)

Eligibility:

· Education: B.Tech/B.E./M.Tech in in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.

Work Experience: 4-6 years of hands-on experience in software development, with at least 2-3 years focused on Agentic AI or GenAI technologies.

·Experience in Hands-on code development using GenAI / Agentic AI tools to design, build, and deploy enterprise-grade AI solutions powered by one or more of the following LLMs like GPT-4, Anthropic Claude, Mistral, using Google Vertex AI/Deep Mind, Azure OpenAI, AWS Bedrock, Azure AI Foundry, etc.

·Must have strong understanding of Retrieval-Augmented Generation (RAG), Embeddings, Prompt Engineering, Semantic Search, Vector Databases.

· Must have strong Python development expertise and practical experience implementing GenAI applications, agent orchestration frameworks like LangGraph, LangChain, AutoGen,CrewAI, etc, vector search technologies, and cloud-native AI solutions using OpenSearch, Pinecone, Chroma, Azure AI Search, pgvector, etc

· Must have in-depth understanding of Datawarehousing and datalake concepts and experience in developing autonomous ETL/Pipeline and orchestration of backend services and APIs using Python, FastAPI, Flask, REST APIs, and microservices.

· Experience working with structured and unstructured data sources, including documents, PDFs, APIs, databases, and knowledge repositories. Exposure to Agile development processes.

· Implement and optimize prompt engineering techniques to enhance AI model performance.

· Working knowledge of cloud environments such as AWS, Azure, or Google Cloud.

· Write clean, maintainable, and efficient code adhering to coding standards.

· Support debugging, performance tuning, and deployment of GenAI solutions in cloud environments.