Key Knowledge and Abilities:

AI Platform, Architecture & Governance Experience defining AI/ML architecture, platform strategy, model governance, responsible AI practices, and operational frameworks for enterprise-scale deployments. Ability to evaluate emerging AI technologies and establish best practices for ML Ops, LLM Ops, and model lifecycle management - making pragmatic build-versus-buy decisions across platform investments and technology roadmaps. Knowledge Graphs, Ontologies & Enterprise Intelligence Strong domain expertise in ontology engineering, semantic technologies, metadata management, entity resolution, taxonomies, and knowledge representation, with demonstrated experience designing, building, and scaling ontology-driven enterprise intelligence solutions, including knowledge graphs, semantic layers, and business knowledge models. Experience integrating knowledge graphs and ontology layers with machine learning, generative AI, agentic AI, RAG architectures, and enterprise data platforms to improve reasoning, explainability, grounding, and business context. Ability to collaborate with domain experts and business stakeholders to translate complex business processes, data assets, and enterprise knowledge into reusable semantic and knowledge graph frameworks. Deep knowledge of SAP application data models, domain processes, and enterprise data architecture, with the ability to apply this understanding to design ontologies, semantic layers, and knowledge graph solutions that accurately reflect SAP's business and application context. Data and Applied Science - General Job Profile Skills Model Training Ability to conduct Machine Learning Model Training. Employees who excel in this skill have expertise in statistics, computer science, and mathematics, as well as proficiency in software tools and programming languages. They are capable of selecting the right algorithm for a problem, preparing data sets, and testing model accuracy. Deep Learning Ability to utilize deep learning and neural networks to enable machines to learn from data and make decisions. Employees who excel in this skill have specialized abilities in mathematics, programming, and data analysis, making them highly coveted in the tech industry. Data Engineering Ability to design, build, and maintain infrastructure for data collection, transformation, storage, and analysis. Employees who excel in this skill have a high level of technical expertise in programming, data modeling, and data visualization. Agentic Orchestration Ability to design, delegate, and supervise multi-agent workflows involving autonomous AI agents with multi-step reasoning and coordination. Employees who excel in this skill manage task decomposition, agent communication, error handling, quality human validation, and design agent harnesses for long-running tasks, context durability, tool lifecycle, and sub-agent coordination. Semantic Retrieval Ability to design, implement, and optimize semantic search and retrieval architectures including RAG pipelines, knowledge graphs, and hybrid vector/keyword search systems and Lakehouse architectures. Employees who excel in this skill have deep expertise in embedding models, retrieval optimization techniques, and modern data architecture patterns.

Where you belong:

Join a collaborative, forward-thinking team defining how enterprise AI actually works on a global scale. You'll work alongside curious engineers, thoughtful product minds, and applied researchers all focused on building AI that customers can trust in the highest-stakes business processes. There's room to grow into new technical spaces, ship real impact, and shape SAP's AI future. If you value learning, real ownership, and building foundational infrastructure that matters, you'll feel at home here. #dlhiring 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 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.

Compensation Range Transparency :

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 244,700 - 609,200 . The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits . We are ethical and compliant Our leadership credo: Do what's right. Make SAP better for generations to come . We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP's values and shape SAP's culture of integrity, by demonstrating and championing ethical and compliant behavior towards all stakeholders. 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.

Requisition ID:

459735 |

Work Area:

Software-Research |

Expected Travel:

0 - 30% |

Career Status:

Executive |

Employment Type:

Regular Full Time |

Additional Locations:

#LI-Hybrid

Nearest Major Market:

San Jose Nearest Secondary Market:

Palo Alto Job Segment:

Open Source, ERP, Cloud, Data Architect, SAP, Technology, Data Apply now » share Requisition

ID 459735

Posted Date Aug 26, 2026 Work Area Software-Research Career Status Executive Employment Type Regular Full Time Expected Travel 0 - 30% Location Palo Alto, CA, US, 94304 Find similar jobs Finance Jobs in Palo Alto, ERP Jobs in Palo Alto, Data Jobs in the United States, Data Jobs in San Jose, Computer Science Jobs in Palo Alto Job alert Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an 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