EY-GDS Consulting-AIA-Gen AI Senior Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Function : Consulting    Position : Senior Manager Title : AI/GenAI– Senior Manager Position : Full Time      Educational qualification : BTech/Masters/PhD The opportunity We are seeking an experienced GenAI Senior Manager with 12+ years of overall experience, including significant hands-on and leadership expertise in Generative AI, Agentic AI, RAG architectures, Conversational AI, AI agents, Copilot solutions, enterprise AI platforms, and AI governance. The ideal candidate will lead the strategy, architecture, delivery, governance, and enterprise-wide scaling of AI solutions while managing multi-disciplinary teams of AI engineers, data scientists, solution architects, platform engineers, and business stakeholders. The role requires a strong blend of technical leadership, enterprise solution architecture, AI strategy, program delivery, stakeholder management, people leadership, quality governance, and business value realization to drive large-scale adoption of GenAI capabilities. The candidate should have proven experience delivering AI-powered solutions such as RAG applications, AI agents, copilots, enterprise knowledge management platforms, AI automation workflows, multi-agent systems, intelligent search, and AI-enabled business transformation programs, while ensuring Responsible AI, quality, security, compliance, scalability, and operational excellence standards are met. The individual will lead enterprise AI quality, validation, observability, and governance initiatives to ensure the reliability, security, performance, scalability, and business effectiveness of AI and GenAI solutions while partnering with senior technical, business, architecture, security, compliance, and executive stakeholders. Important: Hands-on experience delivering AI solutions in enterprise or production environments is required. Certifications, personal projects, and demos alone are not sufficient.   Your key responsibilities

Lead the strategy, design, development, and delivery of enterprise AI, GenAI, Agentic AI, Conversational AI, Copilot, and RAG-based solutions aligned with business and technology objectives. Define enterprise AI strategy, roadmaps, governance frameworks, reference architectures, operating models, delivery standards, and capability development plans to enable scalable AI adoption across the organization. Drive the architecture, implementation, and industrialization of AI platforms, copilots, multi-agent systems, conversational AI solutions, intelligent automation workflows, enterprise search, and knowledge management solutions. Collaborate with senior business stakeholders and executive sponsors to identify high-value AI use cases, prioritize initiatives, establish success metrics, and realize measurable business value. Oversee the end-to-end AI solution lifecycle, including use case discovery, feasibility assessment, solution architecture, data readiness, development, testing, deployment, monitoring, adoption, optimization, and continuous improvement. Lead, mentor, and manage cross-functional teams of AI engineers, data scientists, architects, developers, platform engineers, and business analysts, fostering innovation, engineering excellence, and delivery discipline. Establish and enforce best practices for Responsible AI, AI security, privacy, compliance, risk management, explainability, model governance, and ethical AI adoption across enterprise AI implementations. Drive adoption of enterprise AI capabilities leveraging Azure AI Foundry, Azure OpenAI, OpenAI, Databricks, Microsoft Copilot ecosystem, vector databases,