IN_Associate_GenAI and Agentic AI_GCC_Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
SAP

Management Level
Associate

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.

Why PWCAt PwC, 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.

At PwC, 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 Description & summary:We are seeking a passionate and skilled AI Engineer with 2–4 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, expertise in python and data engineering tools and platforms 

Responsibilities: 


 

• Design, develop, and deploy GenAI solutions with a focus on production readiness and data scalability. 
  

• 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, with a focus on modularity and performance. 
  

• Develop and optimize AI/ML pipelines using Databricks, Spark, Delta Lake, and other modern data engineering tools. 
  

• Collaborate with data scientists and ML engineers to ensure seamless integration of GenAI models with data infrastructure. 
  

• Ensure system scalability, reliability, and maintainability through strong software and data engineering practices. 
  
  

• 2–4 years of total experience in AI/ML, software engineering, or data engineering. 
  

• Minimum 2 years of hands-on experience in building and deploying GenAI systems. 
  

• Strong proficiency in Python for both AI development and data engineering tasks. 
  

• Experience with Databricks, Spark, and cloud-native data platforms (e.g., Delta Lake, etc.). 
  

• Familiarity with LLMs such as GPT-4, Claude 2, Gemini, etc. 
  

• Hands-on experience with RAG systems and multi-agent frameworks like LangGraph, LangChain, or AutoGen. 
  

• 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. 
  
  

• Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. 
  

• Prior contributions to open-source GenAI or agent frameworks. 
  

• Familiarity with Azure Databricks, AWS Bedrock, or other cloud-based LLM/data services. 
  

• Background in optimization, evaluation, and prompt engineering for LLM systems. 
  

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

• Knowledge of data governance, lineage, and monitoring in large-scale data systems. 
  
  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Robotic Process Automation (RPA)

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, 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, Configuration Management (CM), Continuous Process Improvement, Data Analytics + 31 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship
No

Government Clearance Required
No

Job Posting End Date
April 7, 2026