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Manager | GEN AI | Noida | SAP | DSA Practice
manager · Technology / Software Development
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.