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 and technical audiences.
- Define success criteria and ensure solution performance, quality, adoption, responsible AI, transparency, fairness, explainability, and data privacy.
- Identify and prioritize SAP-native AI use cases across S/4HANA, BDC, Analytics Cloud, and BTP.
- Advise on SAP AI innovations, future-proof architectures, and migration from legacy approaches.
- Apply and refine SAP AI architecture standards, patterns, frameworks, and best practices.
- Contribute to SAP AI strategy, capability roadmaps, thought leadership, and innovation initiatives.
- Support pre-sales and solutioning activities, including proposals and proofs of concept on SAP BTP and AI Core.
- Mentor junior architects and coach AI Architects through knowledge sharing and structured 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 enterprise applications on SAP BTP.
- Strong understanding 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 integration architectures using Integration Suite, API Management, Event Mesh, and Data Intelligence.
- Familiarity with 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, combined with SAP Data Intelligence and Datasphere.
- 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, business acumen, analytical problem-solving, collaboration, adaptability, and mentoring skills.
- Project and program management proficiency using Agile, SAFe, SAP Activate, Jira, Confluence, and SAP ALM.
- Thought leadership evidence such as community contributions, publications, or conference speaking is a strong plus.
Benefits
- Flexible working models and hybrid work arrangement.
- SAP health and well-being programs, inclusive culture, accessibility accommodations, and professional development opportunities.
- Regular full-time employment based at SAP locations in Munich/Garching, Walldorf, Berlin, Ratingen, or Hamburg.
- Expected travel of 0–50%.
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.