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

Posted Yesterday
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Potsdam, Brandenburg, DEU
In-Office
Senior level
Artificial Intelligence • HR Tech • Information Technology • Software • Database • Cybersecurity • Big Data Analytics
At SAP, we grow, we lead, we innovate. As colleagues, we support, challenge, and inspire one another every day.
The Role
Designs and operates scalable knowledge graph systems for SAP’s Physical AI platform, integrating industry-specific knowledge into reliable infrastructure. Translates domain requirements into data models, provides technical documentation and best practices, leads technical discussions, and mentors engineers. The role requires ownership of knowledge infrastructure, collaboration with product, engineering, and domain teams, and improving data and engineering standards across global teams.
Summary Generated by Built In
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.

#LI-SW1

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: [email protected].
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.

Skills Required

  • Strong expertise in data science and knowledge engineering
  • Hands-on experience building industry-specific and domain-specific knowledge graphs
  • Ability to design scalable knowledge infrastructure
  • Ability to balance quality with delivery speed
  • Rigorous data modeling principles
  • Strong problem-solving skills
  • Confidence leading technical discussions
  • Ability to mentor engineers

SAP Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SAP and has not been reviewed or approved by SAP.

  • Fair & Transparent Compensation — Pay is considered competitive and fair overall, with satisfaction higher in certain roles and geographies, especially sales with strong on‑target earnings. Feedback suggests compensation is above average for a large enterprise software employer even if not at the very top of the tech market.
  • Leave & Time Off Breadth — Generous paid time off, holidays, volunteer time, and a formal sabbatical option are part of the total rewards. These offerings contribute meaningfully to overall value even when base salary alone may feel mid‑pack.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage, plus HSAs/FSAs and mental‑health support, form a robust core of the package. Paired with other coverages, this breadth reinforces strong total compensation value.

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The Company
HQ: Walldorf
105,328 Employees
Year Founded: 1972

What We Do

SAP is one of the world’s leading producers of software for business process management. Today, SAP has over 250 million cloud users and more than 100 solutions covering all industries and business functions. Every day, we help companies and organizations of all sizes and industries to run their businesses profitably, to adapt continuously, and grow sustainably.

Why Work With Us

At SAP, we help the world run better and improve people's lives A market leader in enterprise software, SAP turns businesses into intelligent, sustainable enterprises. Our applications and services enable business and public customers across 25 industries to operate profitably and adapt continuously.

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