IN_Manager_GenAI+AgenticAI+Data Science_D&A_Advisory_Bangalore

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. 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:    We're looking for a Senior AI/ML Engineer who can design, build, and deploy scalable ML, GenAI, and Agentic AI systems across cloud environments (GCP preferred) with strong focus on productionization , automation, and business impact. You'll work across demand forecasting, RAG-based intelligent applications, autonomous multi-agent systems, and enterprise AI integration.

Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)   Develop and deploy ML, Deep Learning, NLP, and GenAI models in production   Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering   Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory   Build and optimize time series forecasting models (demand forecasting, inventory planning)   Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance   Optimize models for performance, cost, and latency   Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications   Design scalable LLM inference architectures for efficient deployment   Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams   Debug, optimize, and enhance ML models for quality and performance improvements   Mentor team members and present technical findings to diverse audiences   Stay current with AI/GenAI trends and evaluate emerging tools and frameworks   Mandatory skill sets:   Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)   Develop and deploy ML, Deep Learning, NLP, and GenAI models in production   Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering   Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory   Build and optimize time series forecasting models (demand