PwC - Senior Manager - GenAI/AI Architecture in Hyderabad, भारत

Responsibilities : - Leading GenAI and AI architecture workstreams for client engagements, translating business objectives into practical solution designs.- Advising stakeholders on AI strategy, use case selection, and delivery approaches across data, analytics, and automation programs.- Designing target-state AI architectures that integrate data pipelines, model layers, and digital tooling across complex environments.- Guiding the development of machine learning, deep learning, and natural language processing solutions for business problem solving.- Overseeing exploratory analysis, statistical modeling, and predictive modeling to inform technical direction and investment choices.- Coordinating technical teams through implementation planning, issue resolution, and delivery across multiple workstreams.- Applying systems thinking to identify dependencies, data quality gaps, and architecture risks that may affect solution performance.- Reviewing AI workflows, model outputs, and data products to validate alignment with client needs and delivery objectives.- Coaching team members on AI fluency, analytical thinking, and rapid experimentation methods that support delivery execution.- Communicating solution tradeoffs, status updates, and recommendations to senior stakeholders in clear, concise https://jobeax.com/link/3PhYxge5ZmLqWnnU 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-facing programs.- Applying systems thinking to uncover root causes and opportunities.- Crafting executive-ready narratives for diverse stakeholder groups.- Coaching teams through ambiguity and complex technical decisions.- Validating AI outcomes and refining solutions from feedback. (ref:hirist.tech)