Senior ML engineer - SAP Business AI - SAP Knowledge GraphT2T

We help the world run better

At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences values flexibility and is aligned to our purposedriven and futurefocused work. We offer a highly collaborative caring team environment with a strong focus on learning and development recognition for your individual contributions and a variety of benefit options for you to choosefrom.

What youll do

At SAP we amplify the strength of AI technology fusing it with our robust industryfocused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities revolutionizing the way businesses operate. 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 SAPs mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers.
As a Senior AI Scientist you will play a pivotal role in shaping and executing data engineering activities while driving AIdriven innovation for SAPs Knowledge Graph initiatives.

The Role
Design and implement robust ETL pipelines to ingest and process data metadata and other artifacts into SAPs Knowledge Graph.
Contribute to the development and deployment of AIdriven solutions focusing on LLM applications and their integration with Knowledge Graphs.
Extract preprocess and enrich information from various Line of Business (LoB) data sources to support foundational models and AI use cases.
Collaborate with domain experts across SAPs business units to align AI and data engineering strategies with business goals.
Build stable and scalable applications to operationalize AI models and ensure their seamless integration into enterprise systems.
Guide junior team members and foster a collaborative team environment.
Lead critical design and implementation decisions ensuring the alignment of AI and data engineering architectures with SAPs strategic vision.
Drive thought leadership in generative AI by leveraging Knowledge Graphs and foundational models for business innovation.

What You Bring
5 years of professional experience in software engineering with at least 2 years as a data engineer and significant exposure to AI/ML applications.
Bachelors or masters degree in computer science Artificial Intelligence Physics Mathematics or other relevant disciplines.
Proficiency in Python with experience in frameworks like Tensorflow PyTorch and tools for building ETL pipelines (e.g. Metaflow Airflow).
Handson experience with cloud platforms (AWS GCP Azure or BTP).
Strong knowledge of relational databases object stores and vector databases.
Experience in Knowledge Graph technologies (e.g. RDF SPARQL) and familiarity with SAP S/4HANA backend data models (e.g. CDS Views RAP) is a plus.
Expertise in building scalable data pipelines for AI applications particularly those involving LLMs or similar models.
Strong communication collaboration and leadership skills with experience working in agile and crosscultural teams.
A curiosity to experiment with and adopt emerging technologies and frameworks.

Meet your team
SAP Business AI organization is committed to seamlessly integrating AI into enterprise applications empowering customers partners and developers to enhance business processes and deliver exceptional business value. Join our dynamic innovative and globally connected AI team where opportunities for personal growth and collaboration abound.

#SAPBusinessAICareers #SAPAICareers

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 enterprise resource planning (ERP) software SAP has evolved to become a market leader in endtoend business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purposedriven and futurefocused 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 SAPyou can bring out your best.

We win with inclusion

SAPs culture of inclusion focus on health and wellbeing 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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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 email 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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity age gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 411737 Work Area: SoftwareDesign and Development Expected Travel: 0 10 Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LIHybrid.