Senior Associate Agentic Powered Automation Intelligence Automation Advisory

Role Overview: At PwC, our team in data and analytics engineering specializes in leveraging advanced technologies and techniques to develop robust data solutions for clients. Your role will be critical in transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. If you are an experienced APA Developer specializing in autonomous agents and Large Language Models (LLMs), we are looking for you to join our team. You will help design, develop, and optimize agents that can perform complex tasks autonomously while ensuring reliability and safety. Key Responsibilities: - Hands-on experience with building and deploying autonomous agents - Familiarity with LangChain framework for developing applications - Knowledge in Retrieval Augmented Generation (RAG) systems - Understanding and working with Large Language Models (LLMs) and their APIs - Solid grasp of safety principles and best practices for autonomous agents - Experience in resolving Hallucinations in the outcomes Qualification Required: - Advanced Python programming skills with expertise in async programming and API development - Proficiency in vector databases and embedding models - Experience in implementing RAG pipelines and knowledge retrieval systems - Familiarity with prompt engineering and LLM optimization techniques - Knowledge of modern software development practices including Git, CI/CD, and testing Additional Company Details: At PwC, you will be part of a vibrant community that leads with trust, creates distinctive outcomes for clients and communities, and fosters a purpose-led and values-driven work environment powered by technology. You will have the opportunity to make a tangible impact in the real world with inclusive benefits, flexibility programs, and mentorship to help you thrive in both work and life. We believe in providing equal employment opportunities without any discrimination and strive to create an environment where each individual can contribute to personal and firm growth without facing discrimination or harassment. Role Overview: At PwC, our team in data and analytics engineering specializes in leveraging advanced technologies and techniques to develop robust data solutions for clients. Your role will be critical in transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. If you are an experienced APA Developer specializing in autonomous agents and Large Language Models (LLMs), we are looking for you to join our team. You will help design, develop, and optimize agents that can perform complex tasks autonomously while ensuring reliability and safety. Key Responsibilities: - Hands-on experience with building and deploying autonomous agents - Familiarity with LangChain framework for developing applications - Knowledge in Retrieval Augmented Generation (RAG) systems - Understanding and working with Large Language Models (LLMs) and their APIs - Solid grasp of safety principles and best practices for autonomous agents - Experience in resolving Hallucinations in the outcomes Qualification Required: - Advanced Python programming skills with expertise in async programming and API development - Proficiency in vector databases and embedding models - Experience in implementing RAG pipelines and knowledge retrieval systems - Familiarity with prompt engineering and LLM optimization techniques - Knowledge of modern software development practices including Git, CI/CD, and testing Additional Company Details: At PwC, you will be part of a vibrant community that leads with trust, creates distinctive outcomes for clients and communities, and fosters a purpose-led and values-driven work environment powered by technology. You will have the opportunity to make a tangible impact in the real world with inclusive benefits, flexibility programs, and mentorship to help you thrive in both work and life. We believe in providing equal employment opportunities without any discrimination and strive to create an environment where each individual can contribute to personal and firm growth without facing discrimination or harassment.