SAP AI

Key Responsibilities

• Build and Deploy AI Models: Design, train, and run machine learning models and generative AI workflows using SAP AI Core and cloud infrastructure. [1, 2]
• Integrate Enterprise AI: Connect AI assistants and autonomous Joule Agents with core SAP modules like S/4HANA, SuccessFactors, Ariba, and the SAP Business Technology Platform (BTP). [1, 2, 3]
• Automate Business Workflows: Use enterprise data and business logic to automate repetitive tasks in finance, HR, supply chain, and procurement. [1, 2]
• Govern and Manage AI Lifecycles: Monitor prompt development, handle multi-tenant isolation, track performance metrics, and maintain secure enterprise data governance. [1, 2]Role & responsibilities

Preferred candidate profile Typical Requirements

• SAP Experience: Proficiency with SAP ecosystems, data structures, and enterprise software architecture.
• Technical Skills: Experience with Python, machine learning frameworks, APIs, Git, Docker, and cloud platforms.
• AI/ML Knowledge: Practical background in generative AI, large language models (LLMs), natural language processing (NLP), or MLOps.
• Problem Solving: Ability to translate complex business requirements into production-ready AI solutions. [1, 2, 3, 4, 5]