Job Description
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 purpose-driven and future-focused 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 choose from.
Senior AI Scientist - SAP Knowledge Graph What you`ll do
At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused 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 SAP's 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 AI-driven innovation for SAP’s Knowledge Graph initiatives.
The Role Design and implement robust ETL pipelines to ingest and process data, metadata, and other artifacts into SAP’s Knowledge Graph. Contribute to the development and deployment of AI-driven 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 SAP’s 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 SAP’s 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. Bachelor's or master's 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). Hands-on 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 cross-cultural 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 end-to-end 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 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 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 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.
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: 411736 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
