What you’ll do:

At SAP, we're integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers. 

As a Principal Software Architect (f/m/d), you will play a pivotal role in shaping and executing the system architecture strategy for SAP Knowledge Graph. Your primary responsibility will be to provide system architecture guidance, concepts, and support to ensure the successful execution of SAP Knowledge Graph initiatives.
Your responsibilities will include:

• Define, own, and steer end-to-end architecture and implementation working closely with our engineering team

• Translate use case requirements into architecture definitions

• Drive execution and delivery of production-ready KG solutions establishing a stable and reliable system architecture environment

• Ensure adherence to SAP and BTP development architecture standards and best practices

• Drive KG system architecture towards the long-term vision of business knowledge graphs spanning across SAP, collaborating with the Chief Expert of Knowledge Graph and Semantic Technologies

• Maintain active communication and collaboration with other Development Architects and stakeholders within the organization’s architecture community on relevant architectural adjustments to the system architecture of KG solutions

• Identify opportunities for reuse of architecture concepts or software parts and cross-team synergies. Align architecture with stakeholders regarding architectural or technical dependencies

• Integrate inputs and ideas from AI Scientists, AI Researchers, Data Engineers and Knowledge Engineers towards a holistic product vision

What you bring :

• 10+years of experience in Software Engineering with at least 5 years of professional experience as an architect

• Bachelors or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines

• Expertise in architectural design and operation principles and patterns for large-scale, distributed systems. Experience with event-driven architecture is a plus.

• Strong experience with container technologies (Docker, Kubernetes, etc.)

• Good understanding of SAP Business AI offerings such as Joule, AI agents, AI Core / Launchpad and Generative AI Hub

• Proficiency in any of the programming languages such as Python, Java, Scala, or others

• Strong communication skills and the ability to communicate all aspects of software architecture to various, also non-technical stakeholders

• Experience with SAP Products like SAP S/4HANA, SAP Ariba, SAP Success Factors, or any other is a plus

• Experience working on Knowledge Graph (KG) projects utilizing Semantic Web technologies such as RDF, SPARQL, and SHACL

• Experience in delivering projects within KG-LLM domain will be strongly preferred

• Proven ability to work in an agile environment with deep experience in design, development, deployment, and testing of multi-tenant business applications in the Cloud 

• Experience in being part of large-scale software development projects distributed across geographical locations and proven track record of delivering production grade Cloud / SaaS applications

Meet your team:

As part of the SAP Business AI organization, the Business Knowledge Graphs team empowers AI-driven applications—like Joule, AI agents, and SAP’s foundation models—by grounding them in the explicit semantics of SAP domain knowledge. We are a multidisciplinary group focused on research, innovation, and development, collaborating closely with lines of business and internal stakeholders to bring knowledge graph capabilities to our customers.