Architect (f/m/d) for Foundation Model and Data Platform

Stellenbeschreibung:

Architect (f/m/d) for Foundation Model and Data Platform

We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you’ll do

At SAP Business AI, we are exploring the next frontier of AI on structured business data like graphs, tables and more. Foundation Models on structured data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios. Now, we are pushing further. We want to enable companies across all industries to collaboratively train foundation models and build knowledge graphs.

As a leading Architect (f/m/d) in this larger initiative, you will work on the design and implement a platform for data federation, data enrichment and training, deployment as well as operation of multi-modal foundation models. Your work will complement existing AI platforms and overcome gaps when it comes to bringing together current foundation model training approaches, symbolic approaches like Knowledge Graphs, and enterprise data in a distributed, heterogeneous environment.

This is the ideal role for an ambitious, highly focused individual who can drive profound technical alignments, as well as swiftly maneuver in a dynamic environment with multiple involved teams and a high degree of senior management attention.

The Role

Drive technical architecture and design topics of the data and training platform
Define the components for multimodal data integration and knowledge graph-based asset exploration
Produce reliable, future-proof and evolving architecture definitions and documentation for engineering teams implementing platform components
Ensure secure, policy-compliant handling of proprietary industrial dataset and models (authentication, lineage, provenance, licensing metadata)
Coordinate effectively with technical, product, and management stakeholders across multiple involved teams and ensure alignment with the overarching technical concepts and project vision
Support delivery teams with your deep technical guidance on integration patterns, platform configuration, and performance optimization topics

What you bring

8+ years of related professional experience in building and architecting components of data platforms or ML/AI solutions
Strong background in data engineering, including data federation patterns and pipelines; experience handling heterogeneous, multi-modal data is a plus
Expertise in designing secure and compliant systems, with deep understanding of data governance, lineage, provenance and isolation for sensitive industrial data and models; familiarity with concepts in the realm of data spaces and related protocols is a plus
Hands-on experience working with knowledge graphs and/or foundation models (e.g., fine-tuning) is a plus
Strong hands-on software engineering skills, proficiency in Python and at least one other programming language
Ability to translate business and research requirements into robust, scalable technical platform designs
Experienced in collaborating effectively with product, consulting and customer teams, as well as other stakeholders
Strong communication and documentation skills for technical stakeholders (engineers, data scientists, architects)
Being comfortable working in a complex, evolving environment with multiple partners, technologies and dependencies, iterating the architecture as components evolve

Meet your team

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in ERP software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

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