Senior Platform Engineer (f/m/d) for LoB & Industry Content Integration — Data Science (Physical AI)

SAP SE

Potsdam

On-site

EUR 90,000 - 120,000

Part time

14 days+

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Job summary

SAP SE in Potsdam is seeking an expert to independently design and operate knowledge graph systems for the Physical AI platform. You will translate industry knowledge requirements into scalable infrastructure and mentor engineers.

You will collaborate with cross-functional teams, document best practices, and own the knowledge layer to raise data and engineering standards across global teams.

Qualifications

  • Strong expertise in data science and knowledge engineering with hands-on experience building industry-specific and domain-specific knowledge graphs.
  • Ability to design scalable knowledge infrastructure, balance quality with delivery speed, and apply rigorous data modeling principles.
  • Strong problem-solving skills and the confidence to lead technical discussions and mentor others.

Responsibilities

  • Design and operate knowledge graph systems for the Physical AI platform.
  • Translate vertical knowledge requirements into scalable infrastructure and provide technical documentation and best-practice guidance.
  • Mentor engineers who depend on this layer and lead cross-functional collaboration.
  • Own the knowledge infrastructure and raise data and engineering standards across global teams.

Skills

Knowledge graphs
Data modeling
Mentoring
Cloud architecture
AI governance

Tools

CI/CD pipelines
Distributed systems

Job description

Company Description

Job Description

What you'll build

You will independently design and operate the knowledge graph systems that encode industry-specific and domain-specific knowledge for the Physical AI platform. You will work closely with cross-functional teams — including Physical AI engineers, product teams, and domain experts — to translate vertical knowledge requirements into scalable, reliable knowledge infrastructure, provide technical documentation and best-practice guidance, and mentor the engineers who depend on this layer.

Qualifications

What you'll bring

You bring strong expertise in data science and knowledge engineering with hands-on experience building industry-specific and domain-specific knowledge graphs. The ability to design scalable knowledge infrastructure, balance quality with delivery speed, and apply rigorous data modeling principles is required. Strong problem-solving skills and the confidence to lead technical discussions and mentor others round out the profile.

Additional Information

Where you belong

You will take ownership of the knowledge infrastructure that enables Physical AI to function within specific industry contexts, acting as a technical reference point for data science and engineering colleagues alike. Collaboration across global teams is expected: sharing expertise, contributing to capability improvements, and raising data and engineering standards together. Accountability is core to how this team operates. If you want genuine ownership of the knowledge layer that gives Physical AI its industry intelligence — and the responsibility that entails — this is the right role.

Skills used in this role include: Cloud Architecture, Scalability, Agentic Orchestration, AI Governance Operations, Continuous Integration / Continuous Delivery (CI/CD)

Company: SAP SE

Location: Potsdam

Part Time possible: Yes

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

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: Careers@sap.com.
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.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.

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