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.nnnThose in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.nnnGrowing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate.nnnYou are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.nnnSkillsnExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:nnnnCraft and convey clear, impactful and engaging messages that tell a holistic story.nApply systems thinking to identify underlying problems and/or opportunities.nValidate outcomes with clients, share alternative perspectives, and act on client feedback.nDirect the team through complexity, demonstrating composure through ambiguous,



challenging and uncertain situations.nDeepen and evolve your expertise with a focus on staying relevant.nInitiate open and honest coaching conversations at all levels.nMake difficult decisions and take action to resolve issues hindering team effectiveness.nModel and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.nnThe OpportunitynnWhen you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and skilled skills.nAs part of the Data and Analytics team you will design and deploy advanced Generative AI solutions that drive innovation and enhance AI infrastructure. As a Senior Manager you will lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a significant level to drive project success.



This role offers the chance to work with advanced technologies like Azure OpenAI Service and multi-agent frameworks, while mentoring top-performing teams to solve complex business challenges.nnResponsibilitiesnnLead evaluation, benchmarking, and implementation of scalable, secure, and compliant Agentic AI frameworks aligned with enterprise business use cases and organizational strategies.nDrive technical standardization and maturity in Generative and Agentic AI development by creating reusable orchestration blueprints, prompt engineering guides, best practices, and integration patterns to ensure consistent delivery in complex programs.nDefine scalable multi-agent system design patterns including tool usage, memory management, task routing, agent communication, human-in-the-loop processes, and orchestration frameworks.nEstablish evaluation frameworks to assess Agentic AI solution performance, focusing on reasoning, tool reliability, task completion, hallucination mitigation, and autonomous decision quality for production readiness and continuous improvement.nDesign enterprise RetrievalnAugmented Generation (RAG) architectures optimizing retrieval processes, embeddings, chunking, and reranking aligned with business goals and data governance, while mentoring AI engineering teams and collaborating with stakeholders to translate objectives into AI roadmaps.nManage client engagements including discovery, demos, proposal development, and delivery planning, leveraging strong DevOps, LLMOps, containerization, and CI/CD pipeline expertise to ensure successful, trusted partnerships and stay updated on Agentic AI and Generative AI advancements.nnWhat You Must HavennBachelor's u0026 Master's Degre .

📌 Generative AI Architect-Senior Manager (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru