Managed Services- AI Solution Architect

At EY, youll 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 were 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. GMS Senior Manager_ AI Solution & Transformation Architect (Tech Managed Service) AI Solution & Transformation Architect (Tech Managed Service) - Global Managed Services At EY, were more than just a professional services firm were a global network of 400,000 professionals and one million alumni united by a shared purpose: to build a better working world. We empower our people to challenge the status quo, embrace innovation, and deliver lasting impact for our clients and communities. Managed Services is a significant part of the EY business, comprising more than US$7b in revenue with major clients across the globe. We provide clients with a comprehensive approach to managing non-core functions, focusing on delivering strategic outcomes and long-term value through expert collaboration and advanced technology. Through integrated solutions and deep sector and domain expertise, we seek to deliver enhanced value to our clients. The Managed Services team is ambitious and is working to more than double our success in the future. Join us in this role and youll be right at the heart of a function that impacts EY, our clients and people. Youll also find a culture that prioritizes learning, collaboration, and growth providing you with the tools, support, and freedom to thrive and shape your career. The Opportunity The AI Solution & Transformation Architect (Tech Managed Service) will design and propose AI-first Managed Services solutions across Data Managed Service, Application Managed Services (AMS), and AI as a Service sub solutions. The role focuses on embedding agentic workflows, and automation, AI-driven productivity, build compelling sector and tool specific deep AI led client impact narratives, transformation solution pricing and commercial business case constructs within the managed service pursuits to create scalable, outcome-based delivery models. Key Responsibilities Lead end-to-end AI solutioning for large Tech Managed Service RFP/RFIs Define AI driven productivity commitments backed by automation roadmap Developing ROI and TCO-backed AI Narrative Develop AI-integrated operating models Reimagination of traditional TechOps operating models with Agentic possibilities AI-backed value engineering & commercial differentiation Design end to end AI architectures across LLMs, NLP, RAG, Agent skills, Knowledge graph, vector databases, and predictive analytics. Engage with Deal Architect /Team in workshops, discovery sessions, and design sessions Create managed service pursuit slide decks with deeply infused client context Perform sector specific and Tool specific AI research and publish point of view / thought leadership papers on periodic basis Constantly research, learn, maintain and collaborate with EY.ai Tech MS relevant assets & tools landscape and EY global stakeholder group Deep collaboration with super region leaders, client partners and leadership teams Lead POCs, MVPs, and rapid prototyping. Evaluate and integrate emerging AI capabilities into Tech MS solution offerings Perform AI maturity assessments Design responsible AI and agentic AI guardrails as per clients policies Perform Fin Ops analysis/ AI services and token cost estimates Skills and Attributes for Success Experience and expertise in enterprise observability and AIOps landscape and solutioning (E.g. Dynatrace, Datadog, New relic, SAP Could ALM etc) Expertise and experience in multiple agentic AI platforms, architecture and automation tools (E.g. Azure AI foundry, GCP Vertex AI, AWS Bedrock, SAP BTP & Business AI Platform, SNOW assist, LangGraph, CrewAI, Microsoft Agent Framework, UIpath, SAP Signavio, Celonis Process Intelligence etc) Extremely proficient in client story telling & presentation verbal as well as powerpoint slides Data engineering proficiency (SQL, ETL pipelines, streaming, data lakes) and understanding of Data engineering agents Understanding of enterprise security, identity, compliance, and governance in AI deployments. Experience in agentic solution design, build and deployment, Deep understanding of LLMs, NLP, GenAI, RAG, Prompt engineering & model tuning Experience in Technology Managed Service pre-sales & solutioning as Solution Architect To qualify for the role, you must have Minimum 15+ years of overall consulting, pre-sales and managed service experience Engineering graduate Post graduation in AI & ML Azure AI Engineer / AI Architect / SNOW Assist / SAP AI Architect ITIL Foundation (for AMS solutioning) SAFe Certifications Certified Solution Architect Certified Enterprise Architect Ideally, youll also have Experience and .