IN_Manager_Agentic AI_Data Analytics_Advisory_Chennai

PwC

Chennai District

On-site

INR 1,800,000 - 3,600,000

Full time

22 hours ago

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Job summary

PwC in India is seeking a Manager-level Data and Analytics professional focused on GenAI and AI-powered data platforms. You will define roadmaps for agentic AI initiatives and lead architecture for intelligent agents, collaborating with business leaders to align AI strategy with corporate goals.

You will oversee the use of LLMs, multimodal models and AI tooling, while building a world-class team of researchers and engineers.

Qualifications

7-11 years of experience in data/AI roles.
Education: B.Tech / M.Tech / MBA / MCA (or equivalent).
Strong understanding of GenAI and AI integration in data platforms.

Responsibilities

Define and execute roadmap for Agentic AI and GenAI initiatives.
Identify opportunities where autonomous agents and generative AI can add business value.
Collaborate with executive leadership to align AI strategy with business goals.
Lead architecture and development of intelligent agent frameworks.
Oversee application of LLMs, multimodal models, and fine-tuning for domain use cases.
Evaluate and integrate emerging GenAI/Agentic technologies.
Build and scale a team of AI researchers, ML engineers, and product managers.

Skills

GenAI/Agentic technologies

AWS Devops

Active Listening

Communication

Education

B.Tech / M.Tech / MBA / MCA

Tools

Apache Airflow

Apache Hadoop

Azure Data Factory

Databricks Unified Data Analytics Platform

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 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

Define and execute the long-term roadmap for Agentic AI and GenAI initiatives.
Identify and prioritize opportunities where autonomous agents and generative AI can drive business value.
Collaborate with executive leadership to align AI strategy with overall business goals.
Lead architecture and development of intelligent agent frameworks (e.g., goal-driven, tool-using agents).
Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases.
Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.).
Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers.
Foster a strong interdisciplinary culture of innovation and experimentation. =
Collaborate cross-functionally with data engineering, product, legal, and design teams.

Mandatory skill sets

GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.).

Preferred skill sets

Lang Experience in industries such as finance, consulting
Track record of publishing or contributing to open-source AI frameworks.
Understanding of regulatory, ethical, and societal implications of autonomous AI system

Years of experience required

7-11

Education qualification

B.Tech / M.Tech / MBA / MCA

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

Master of Business Administration, Bachelor of Engineering

Required Skills