3 months ago
Garching bei München, GermanyStaff+
Responsibilities
- Engage customers and SAP stakeholders to define business goals and translate them 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 architecture reviews and blueprint sessions and communicate complex technical concepts to business and executive 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.
- Govern the team’s SAP AI architecture framework, standards, patterns, and best practices.
- Drive the unit’s SAP AI strategy and roadmap, including capability development through hiring, training, and tooling investments.
- Lead pre-sales and solutioning activities, including proposals and proofs of concept on SAP BTP and AI Core.
- Mentor and coach architects and contribute to SAP thought leadership and innovation.
- Advise on SAP AI innovations and future-proof architectures, including migration from legacy approaches.
Requirements
- Master’s degree in Computer Science, Information Systems, AI, Software Engineering, or a related field.
- 10+ years of SAP experience, including 5+ years in a senior architect leadership role.
- Professional fluency in German and English.
- Strong expertise in Fiori UI, CAP Framework, SAP BTP, 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.
- Deep familiarity with SAP data models and enterprise data architecture, including S/4HANA and Datasphere.
- Knowledge of enterprise integration patterns and protocols including APIs, OData, and SOAP.
- Experience with agentic AI frameworks such as LangChain, AutoGen, and CrewAI, together 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.
- Strong understanding of SAP AI Foundation, 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, executive presence, strategic thinking, business acumen, analytical problem-solving, stakeholder management, and collaborative leadership skills.
- Solid project and program management expertise using Agile, SAFe, SAP Activate, Jira, Confluence, and SAP ALM.
- Proven SAP ecosystem thought leadership through community contributions, publications, or conference speaking is preferred.
- Passion for mentoring and developing SAP AI architecture talent is expected.
Benefits
- Flexible working models, including a hybrid work arrangement.
- Health and well-being focus, inclusion initiatives, accessibility accommodations, and a collaborative team culture.
- Continuous learning, skill development, personal development, and career growth opportunities.
- Regular full-time employment with unlimited duration.
- Expected travel of 0–50%.
- SAP employee referral eligibility applies to permanent roles under the SAP Referral Policy.
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.