IN Senior Associate Agentic + GenAI Data Analytics Advisory Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

*Why PWC

 

At 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: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

 

Responsibilities: 

 

• Design and implement agentic AI architectures, including planning, memory, tool use, multi-agent collaboration, and feedback loops. 

• Build and integrate with large language models (LLMs), including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). 

• Develop agents capable of autonomous task execution, dynamic decision-making, and long-horizon planning. 

• Lead development of tools for self-reflection, memory persistence, and contextual awareness in AI systems. 

• Create or improve pipelines for multimodal generative AI, such as text-to-image, code generation, or synthetic media creation. 

• Work with APIs, open-source tools (LangChain, AutoGen, OpenAI, Hugging Face), and cloud infrastructure to deploy production-grade agents. 

• Collaborate with product, design, and research teams to align capabilities with user needs and ethical AI practices. 

• Stay up to date with the latest research and developments in agentic AI, LLMs, and generative A 

 

Mandatory skill sets: 

 

LangChain, AutoGen,  

Preferred skill sets: 

 

Langgraph,Langchain 

Years of experience required: 

 

3-7 

Education qualification: 

 

B.Tech / M.Tech / MBA / MCA 

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

Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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