PwC—IN · Manager · Agentic AI · Data Analytics · Advisory · Chennai

Job description

Description: Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager 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. 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…. 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: Strategic Leadership - 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.). Team Management & Collaboration - 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) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AWS Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture Development, 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 {+ 32 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 14, 2026