IN_Sr Associate_GenAI and Agentic AI_GCC_Advisory_Bangalore

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 3,100,000 - 4,000,000; Full time

Job summary

PwC India is seeking a passionate AI Engineer with 3–7 years of experience to design and deploy GenAI solutions. You will build RAG systems, integrate multi‑agent frameworks, and work with LLMs such as GPT‑4 or Gemini to deliver production‑grade AI capabilities.

You will collaborate with cross‑functional teams, ensure system scalability and reliability, and contribute to intelligent automation initiatives across client engagements, with a Pan India footprint.

Qualifications

• 3–7 years of AI/ML or software engineering experience.
• Minimum 2 years building and deploying GenAI systems.
• Experience with LLMs such as GPT-4 or Gemini.

Responsibilities

• Design, develop, and deploy GenAI solutions for production.
• Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
• Integrate with 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).
• 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.

Skills

GenAI experience

LLMs

RAG systems

Python

LangChain

LangGraph

AutoGen

CI/CD

Cloud deployment

Software engineering

Education

Bachelor of Engineering

Master of Engineering

MBA

Tools

LangChain

LangGraph

AutoGen

Docker

Job description

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

*WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other.

about us

AtPwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Summary

We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling.

Responsibilities

• 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 with 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.

Mandatory skill sets

• 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 in 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 in working with graph-based memory and LLM tool use patterns.

Preferred skill sets

• 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 in deploying AI systems in production environments and maintaining performance at scale

Years of experience required: 3+ to 7

Location: Pan India

Bachelor’s degree in Computer Science, Engineering, or a related field

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Agentic AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}

Desired Languages

(If blank, desired languages not specified)