IN_Senior Associate_GenAI and Agentic AI _GCC_Advisory_Pune

PwC India; Pune District; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Price Waterhouse Cooper LLP in India seeks a passionate and skilled AI Engineer with 3–7 years of experience, including at least 2 years in GenAI, to join our AI/ML team. The role centers on building and deploying advanced GenAI solutions, with a focus on Retrieval-Augmented Generation (RAG) systems and multi-agent frameworks.

You will work with LangChain, LangGraph, AutoGen and GPT-4/Gemini, write robust Python code, and contribute to production-grade data and automation projects across Pan

Qualifications

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

Responsibilities

• Design, develop, and deploy GenAI solutions, with a focus on 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).
• 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.

Skills

GenAI

LLMs

RAG systems

Multi-agent frameworks

Python

Cloud-native deployments

CI/CD

Software engineering best practices

Graph-based memory

Education

Bachelor's degree in CS/Engineering

MBA

Bachelor of Engineering

Tools

LangChain

LangGraph

AutoGen

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 for our 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 for each other. Learn more
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: MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Agentic AI, Generative AI Agents

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)