Job Title: Manager | SAP AI Architect | Noida | SAP | DSA Practice
Manager | SAP AI Architect | 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
Your work profile
- Architect end to end AI solutions using SAP’s Business AI Stack – S/4Hana embedded AI, Joule and custom AI on SAP AI Core, AI Launchpad and BTP services.
- Translate business requirements into technical architecture blueprints, integration designs and solutions
- Evaluate and recommend right mix of embedded vs Joule vs custom AI based on use case, cost, governance and scalability.
- Define data architecture, integration patterns (SAP Integration Suite, APIs etc) and security/governance framework for AI solutions.
- Lead technical discovery workshops, PoCs and solution design sessions with customer stakeholders.
- Provide technical oversight and mentorship to development teams during build and deployment.
Key skills required
- Experience architecting solutions on hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock, Google Vertex AI)
- Exposure to major LLM ecosystems (Open AI, Anthropic Claude, Google Gemini, open-source models like Llama, Mistral, GLM)
- Knowledge of agentic AI frameworks (LangChain, LangGraph, Semantic Kernel, N8N, AutoGen, MCP based architectures)
- Familiarity with vector databases and RAG architecture patterns outside SAP’s native tooling.
- Understanding of MLOps/LLMOps practices, model evaluation and responsible AI/governance frameworks.
Required Qualifications
- 15+ years overall experience in SAP consulting/architecture with 2+ years focused on AI/ML or SAP Business AI solutions
- Strong hands-on knowledge of SAP BTP, SAP AI Core/AI Launchpad, Joule and embedded AI features in S/4HANA
- Experience with Generative AI concepts (LLMs, RAG, prompt engineering) and enterprise AI Governance
- Solid understanding of SAP integration technologies (Integration Suite, APIs, event mesh etc)
- Prior experience architecting solutions for at least one full customer engagement lifecycle
- Excellent stakeholder management and presentation skills
