Description

 Key Responsibilities

• Define the overall SAP Joule and SAP AI architecture and implementation roadmap.
• Lead implementation, configuration and enablement of SAP Joule within the SAP landscape.
• Design and implement Joule Agents and custom AI use cases.
• Configure and work with SAP Joule Studio / SAP Build for skills and agent development.
• Enable and support Joule for Developers, including ABAP AI capabilities and developer tooling. Connect J4D to Eclipse and Visual Code.
• Good understanding to leverage existing AI Agents, features, skills.
• Understanding to quantify AI Unit Consumption and validate how to optimize to avoid high usage.
• Develop/customize SAP AI solutions using appropriate APIs, OData services, BTP services and SAP integration technologies.
• Support integration of Joule with Microsoft 365 / Copilot / Teams where applicable.
• Support integration patterns involving MCP (Model Context Protocol) where applicable.
• Establish security, authorization, data privacy, AI governance and consumption controls.
• Work with SAP Platform, BASIS, Security, BTP, development and functional teams to move AI use cases into production.
• Troubleshoot Joule/BTP/AI integration and configuration issues.
• Provide technical documentation, architecture diagrams, configuration standards and knowledge transfer to the internal team.

Current AI direction specifically includes Joule for Developers for ABAP generation/explanation/testing, Joule for Consultants, Joule agents for multi-step workflow automation, and advanced custom agent capabilities.

Required Experience

• 8+ years SAP experience, with strong recent SAP BTP/S/4HANA experience.
• Proven hands-on SAP Joule implementation experience.
• Experience implementing or configuring SAP Joule for Developers.
• Experience with Joule Studio and custom Joule agents/skills.
• Strong SAP BTP architecture experience.
• Experience with SAP Build, SAP AI Core / Generative AI Hub, APIs and destinations.
• Strong knowledge of S/4HANA integration and SAP security/identity architecture.
• Understanding of IAS/IPS, OAuth, destinations, Cloud Connector and BTP security.
• Working knowledge of ABAP and SAP development architecture.
• Experience designing enterprise Generative AI / LLM solutions.
• Understanding of RAG, grounding, prompt engineering and agentic AI architecture.
• Experience taking SAP AI solutions from POC through production deployment.

Preferred Experience

• SAP Cloud ALM and AI-assisted operations.
• SAP operational AI / intelligent monitoring use cases.
• Microsoft Azure AI / Azure OpenAI.
• Microsoft Copilot / Microsoft 365 integration.
• MCP-based agent integrations.
• SAP security and compliance requirements in a large global enterprise.
• Experience working with SAP RISE / S/4HANA Private Cloud

Key Skills

Education

Bachelor's degree