Core GenAI / AI Architects- Manager

PwC; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

PwC is seeking a Manager in the Acceleration Center India to guide GenAI and AI architecture initiatives across client engagements. The role focuses on data and analytics engineering, turning data into actionable insights to support business decisions.

You will lead teams, mentor junior staff, manage project plans, and ensure quality and professional standards while exploring AI-enabled solutions such as ML, NLP, and automation within our Data and Analytics Engineering practice.

Qualifications

• Bachelor's degree required.
• 8+ years of experience or equivalent.
• Fluency in English, both written and spoken.

Responsibilities

• Lead GenAI and AI architecture workstreams from planning through delivery across client engagements.
• Design scalable AI solution architectures integrating data, cloud, and analytics components.
• Translate client business needs into technical roadmaps, reference designs, and implementation approaches.
• Coach teams on AI design patterns, data preparation, model lifecycle, and deployment.

Skills

GenAI architecture

AI/ML design

Data engineering

NLP

Automation

Education

Bachelor's degree

Tools

Python

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You'll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We'll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As a Core GenAI / AI Architects- Manager, you will guide client support work in data and analytics engineering, helping shape GenAI and AI architecture approaches that turn data into actionable insight and support business decisions. As a Manager you will lead teams, coach junior staff, manage project plans and timelines, and use sound judgment to handle complex work while upholding quality and professional standards. In this role at PwC, you will contribute to exploratory analysis, statistical modeling, data visualization, and solution design across client engagements within our Data and Analytics Engineering practice.

Responsibilities

• Leading GenAI and AI architecture workstreams from planning through delivery across client engagements
• Designing scalable AI solution architectures that integrate data, cloud, and analytics components
• Translating client business needs into technical roadmaps, reference designs, and implementation approaches
• Guiding teams in the development of AI-enabled solutions, including machine learning, natural language processing, and automation use cases
• Reviewing architectural choices, technical tradeoffs, and delivery risks across multiple initiatives
• Coaching team members on AI design patterns, data preparation, model lifecycle practices, and solution deployment
• Collaborating with client stakeholders to define use cases, success measures, and delivery priorities
• Applying data science, engineering, and programming skills to prototype and refine AI capabilities
• Evaluating data quality, pipeline design, and model performance to support reliable solution outcomes
• Identifying opportunities to expand AI adoption, improve delivery methods, and advance technical capabilities

What You Must Have

• At least a Bachelor's degree
• At least 8 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating GenAI architecture design across client delivery workstreams
• Leading AI solution planning, budgeting, execution, and delivery
• Mentoring teams through complex technical and business decisions
• Translating system interactions into practical implementation strategies
• Collaborating across stakeholders on timelines, quality, and deliverables

Travel Requirements

Not Specified