Offer summary

Qualifications:

Bachelor's or Master's degree in Technology, Business Administration, or related fields., 3-7 years of experience in AI, machine learning, or data analytics., Proficiency with tools like LangChain and AutoGen., Knowledge of large language models, prompt engineering, and AI architecture design..

Key responsibilities:

Design and implement agentic AI architectures and systems.

Develop and fine-tune large language models and generative AI pipelines.

Collaborate with cross-functional teams to align AI capabilities with user needs.

Stay updated with the latest research in agentic AI and related fields.

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

*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: Master of Business Administration, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Required profile