AI Engineer - SAP S/4HANA (GenAI, Agents

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Skills you'll use

What you'll do

• Design and build AI agents that autonomously orchestrate SAP S/4HANA business processes using multi-step reasoning, tool use via A2A and MCP protocols limiting human interaction to the bare minimum.
• Develop SAP Joule extensions using Joule Studio — creating custom skills, domain-specific agents, and conversational interfaces for natural language interaction with SAP data and transactions.
• Integrate and orchestrate foundation models (Claude, GPT, Gemini) via SAP Generative AI Hub — managing prompt engineering, model routing, guardrails, and agentic orchestration for production-grade deployments.
• Implement MCP-based tool-use patterns giving AI agents secure access to SAP systems — wrapping released APIs and OData services as MCP-consumable tools via the Integration Suite MCP Gateway.
• Build A2A-compliant multi-agent architectures enabling bidirectional communication between Joule, custom BTP agents, and external platforms.
• Establish prompt engineering standards, evaluation frameworks, and Responsible AI guardrails (hallucination mitigation, grounding validation, PII handling, audit trails).
• Explore and pilot emerging SAP AI capabilities (Joule Studio 2.0, SAP AI Agent Hub, ABAP AI agentic features) and provide adoption recommendations.
• Collaborate with SAP Lead Developers and Solution Architects to ensure AI solutions align with Clean Core architecture and the broader S/4HANA landscape.
• Mentor development teams on generative AI, prompt engineering, agentic design patterns, and AI-augmented workflows.

Who can apply

• Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).
• 5+ years of software engineering experience, with 2+ years focused on Generative AI application development and/or agentic AI architectures.
• Deep hands-on experience with LLMs (Claude, GPT, Gemini) — including prompt engineering, function/tool calling, structured outputs, and multi-turn reasoning.
• Proven experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or SAP-native orchestration — with strong understanding of MCP and A2A protocols.
• Working knowledge of SAP BTP AI services — Generative AI Hub, AI Core, Joule Studio, SAP Build, and Integration Suite.
• Solid understanding of SAP S/4HANA architecture, data models, released APIs, and business processes in at least one functional domain (Finance, Supply Chain, Procurement, or Order-to-Cash).
• Strong understanding of AI safety and governance — hallucination mitigation, content moderation, agent access control, and observability.
• Excellent communication skills with the ability to translate business processes into agentic workflows and demonstrate AI value to non-technical stakeholders.
• Growth mindset with passion for rapid prototyping and staying current with AI advancements and the SAP AI roadmap.
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