3 months ago
Garching bei München, GermanySenior
Responsibilities
- Engage customers and SAP stakeholders to translate business goals into SAP AI architecture visions.
- Design and deliver scalable, reliable end-to-end SAP AI solutions using SAP AI Foundation and SAP Build Suite.
- Lead or co-lead architecture reviews and blueprint sessions and communicate complex topics to business audiences.
- Define success criteria and ensure solution performance, quality, adoption, transparency, fairness, explainability, and data privacy.
- Identify and prioritize SAP-native AI use cases across S/4HANA, BDC, Analytics Cloud, and BTP.
- Apply and refine SAP AI architecture frameworks, standards, patterns, and best practices.
- Contribute to SAP AI strategy, roadmaps, capability planning, thought leadership, and emerging technology adoption.
- Support pre-sales and solutioning through proposals and proofs of concept on SAP BTP and AI Core.
- Mentor junior and peer AI architects and foster team capability development.
Requirements
- Bachelor's or master's degree in Computer Science, Information Systems, AI, Software Engineering, or a related field.
- 6–8 years of SAP experience, including at least 3 years in an architect role.
- Professional fluency in German and English.
- Solid expertise in Fiori UI and CAP Framework for full-stack applications on SAP BTP.
- Strong knowledge of SAP architecture principles, Clean Core, RISE with SAP, GROW with SAP, and cloud transformation frameworks.
- Hands-on experience with SAP BTP services and tools including SAP Build, Process Automation, Build Apps, and Integration Suite.
- Experience designing SAP and non-SAP integration architectures using Integration Suite, API Management, Event Mesh, and Data Intelligence.
- Knowledge of SAP data models and enterprise data architecture, including S/4HANA and Datasphere.
- Expertise in enterprise integration patterns and protocols including APIs, OData, and SOAP.
- Knowledge of agentic AI frameworks such as LangChain, AutoGen, and CrewAI, with SAP Data Intelligence and Datasphere for data and AI pipelines.
- Experience designing generative AI solutions on SAP BTP using Generative AI Hub, RAG patterns, prompt engineering, and LLM orchestration.
- Understanding of SAP AI Foundation on BTP, including AI Core, multi-model serving, HANA Cloud vector engine, and Document Information Extraction.
- Hands-on expertise with SAP HANA Cloud AI/ML capabilities, predictive analytics, vector search, and SAP Analytics Cloud integration.
- Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud.
- Strong communication, storytelling, stakeholder management, analytical problem-solving, business acumen, and mentoring skills.
- Proficiency in project and program management practices and tools such as SAP Activate, Jira, Confluence, and SAP ALM.
- Thought leadership through community contributions, publications, or conference speaking is preferred.
Benefits
- Flexible working models and a culture focused on inclusion, health, well-being, and personal development.
- Regular full-time employment with a hybrid work arrangement.
- Position available at SAP locations in Munich (Garching), Walldorf, Berlin, Ratingen, and Hamburg.
- Expected travel of 0–50%.
- Accessibility accommodations and equal employment opportunity are provided.
Tech Stack
SOAP
Categories
Solutions Engineering
About SAP
SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.