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Description: Manager | GEN AI | Noida | SAP | DSA Practice • Job requisition ID : 110405 • Location: Noida • Entity: Deloitte Touche Tohmatsu India LLP The team Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P Experience: 15+ Years (with at least 2+ years focused on AI/ML or SAP Business AI solutions) Your work profile - Architect end-to-end AI solutions leveraging SAP Business AI capabilities, including SAP S/4HANA Embedded AI, SAP Joule, SAP AI Core, AI Launchpad, and SAP BTP services. - Translate business requirements into scalable technical architectures, solution blueprints, integration designs, and implementation roadmaps. - Evaluate and recommend the optimal mix of Embedded AI, Joule, and Custom AI solutions based on business needs, cost considerations, governance requirements, and scalability objectives. - Define enterprise data architectures, integration strategies, security controls, and governance frameworks for AI-powered business solutions. - Design and govern integrations across SAP and non-SAP landscapes using SAP Integration Suite, APIs, Event Mesh, and related technologies. - Lead customer workshops, design thinking sessions, proof-of-concepts (PoCs), and solution discovery engagements. - Provide technical leadership, architecture governance, and mentorship to development and implementation teams throughout project lifecycles. - Ensure AI solutions align with enterprise architecture standards, security policies, compliance requirements, and responsible AI principles. - Drive innovation by identifying AI-enabled transformation opportunities across business processes and SAP applications. - Act as a trusted advisor to business and IT stakeholders, guiding strategic decision-making for enterprise AI adoption. Key skills required - SAP Business Technology Platform (BTP) - SAP AI Core & AI Launchpad - SAP Joule Architecture and Extensibility - SAP S/4HANA Embedded AI - Enterprise AI Solution Architecture - Generative AI & Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - Prompt Engineering - AI Governance & Responsible AI - SAP Integration Suite - API-Led Architecture & Integration Design - Event Mesh & Event-Driven Architecture - Enterprise Data Architecture - Cloud-Native Solution Design - Stakeholder Management & Executive Communication - Solution Discovery, Workshops & Pre-Sales Support Education - Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. - Master's degree in Technology, Artificial Intelligence, Data Science, Business Administration, or related discipline is preferred. - SAP BTP, SAP AI, Cloud Architecture, or Enterprise Architecture certifications will be an added advantage. Preferred / Nice-to-Have Skills - Experience architecting AI solutions on hyperscaler platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI. - Exposure to leading LLM ecosystems including OpenAI, Anthropic Claude, Google Gemini, and open-source models such as Llama, Mistral, and GLM. - Experience with agentic AI frameworks and orchestration platforms including LangChain, LangGraph, Semantic Kernel, AutoGen, N8N, and MCP-based architectures. - Familiarity with vector databases, knowledge retrieval systems, and advanced RAG architecture patterns beyond SAP-native tooling. - Experience with MLOps and LLMOps practices, model monitoring, evaluation frameworks, and AI lifecycle management. - Strong understanding of enterprise security, compliance, governance, and responsible AI frameworks. - Experience leading large-scale SAP transformation and innovation programs across global organizations.