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Added 5 mins ago
Senior Consultant Cybersecurity Architecture - Cloud Security
Deloitte
Davenport, IA · Des Moines, IA
Networking fundamentals with demonstrated experience across both cloud environments (AWS, Azure, or GCP) and on-premises data center infrastructure, including VLANs, subnetting, routing…
Added 9 mins ago
VD
Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
Advanced programming expertise in Python, Java, or C++, with a strong grasp of data structures and cloud systems such as AWS, Google Cloud, or Azure.
Added 10 mins ago
Data Scientist
Federal Express Corporation
Memphis, TN
…ShinyApp, Plotly, Matplotlib, Seaborn). Exposure to relational database platforms, such as Teradata and Oracle. Experience in data mining, developing/implementing statistical models,…
Added 12 mins ago
Software Developer
S&P Global
Princeton, NJ
Job Duties: Standard & Poor's Financial Services LLC seeks a Software Developer who will design, develop, and deploy innovative technology solutions for Ratings products. Develop web…
Added 24 mins ago
Managed Services Engineer
SHI International Corp
Remote, United States
Collaborate with networking, security, cloud, database, and application teams to deliver solutions and resolve cross-platform incidents.
Added 25 mins ago
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Mid Software Developer
ITA International
UNAVAILABLE
- $90,000 to $128,000 USD / year
ITA is seeking a Mid-Level Software Developer to join the team.
Added 29 mins ago
Senior MS SQL Database Administrator- Columbus, OH
INFO ORIGIN INC
Columbus, OH
Administer Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure VMs.
Added 30 mins ago
Database Administrator - onsite Columbus, OH
Novalink Solutions LLC
Columbus, OH
Develops and orchestrates both Azure and on-premises Database Management System (DBMS) architectures, ensuring robust and scalable solutions. Administers Azure SQL Database, Azure SQL…
Added 32 mins ago
TS
NET Developer
Triunity Software
Chicago, IL
- $100,000 to $110,000 USD / year
Triunity Software is looking for a talented .NET Developer to join our growing team in Chicago, IL! This is an exciting opportunity to build innovative software solutions in a…
Added 33 mins ago
Senior Software Developer - Application Development & Support (Remote)
RTX
United States
The Enablement Center of Excellence Analytics Development team is seeking a software developer to support the design, development, enhancement, deployment, and maintenance of enterprise…
Added 40 mins ago
Senior Data Engineer
KBR Wyle Services, LLC
Colorado Springs, CO
Work with database technologies such as PostgreSQL, Redis, MySQL, and others
Added 45 mins ago
Senior Data & Applied Scientist - Ontologies & Semantics
SAP
Palo Alto, CA
Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.
Added 54 mins ago
Full Stack Developer - Materials Discovery Research Institute
Underwriters Laboratories Inc.
Skokie, IL
We have an exciting opportunity for a Full Stack Developer at UL Research Institutes, based onsite in our Skokie, Illinois, office.
Added 1 hour ago
PowerBI/Tableau Developer
NTTD Ser Fed Govt, Inc.
Arlington
We are currently seeking a PowerBI/Tableau Developer to join our team in Arlington, Virginia (US-VA), United States (US).
Added 1 hour ago
AI Vision Machine Learning Engineer
hemlocksem
Hemlock, MI
…recommendation algorithms that deliver measurable business value. The developer will also articulate benefits to stakeholders, ensuring adoption and prioritization of…
Added 1 hour ago
Senior ML Ops/AI Ops Engineer
The Aerospace Corporation
El Segundo, CA
Experience with at least one major cloud platform (AWS, Azure, or GCP) and its ML/compute services
Added 1 hour ago
Senior Dev Sec Ops/AI Ops Engineer
The Aerospace Corporation
El Segundo, CA
Demonstrated production experience with at least two major cloud providers (AWS, Azure, or GCP)
Added 1 hour ago
Principal Engineer I - System Design / Architecture Engineering
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Liberty, NC
Write, optimize, and support SQL queries, stored procedures, and database-facing integrations to enable reporting, troubleshooting, and operational support.
Added 1 hour ago
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Mid-level Full Stack Developer (Java/Spring)
AnaVation
Chantilly, VA
- $50,391.49 to $122,930.87 USD / year
We are seeking a motivated Mid-level Full Stack Developer to join our growing technical team supporting the development of digital evidence management system. The ideal candidate will have…
Added 1 hour ago
Sr. Infrastructure Design Engineer
NC Health Affiliates LLC DBA Blue Cross NC
United States
…might include network, compute, storage, platform, middleware, database and telephony. Independently analyze current and future requirements to effectively design data center…
Added 1 hour ago
Principal Data Engineer
Careington
Frisco, TX
You will play a key role in building and expanding the organization’s Azure-based data platform, including the implementation of a data lake architecture using the medallion data model…
Added 1 hour ago
Boomi Integration Architect
Argano
Remote, United States
…or Salesforce. The candidate should also be experienced in database and file-based integrations. Strong communication skills are essential to effectively lead architecture discussions with…
Added 1 hour ago
Consultant -- Azure, Data & AI
Coretek Services
Remote, United States
Data Platform Development: Design and implement Azure-based data solutions using Microsoft Fabric, Azure Synapse Analytics, Databricks, and Azure database systems (SQL, Cosmos DB, Postgres).
Added 1 hour ago
E-commerce and Web Developer
Advancing Eco Agriculture
Remote, United States
…services to growers. We are searching for a full-stack E-commerce developer that has the ability to bridge design, software engineering, and digital retail strategy. They will focus heavily…
Added 1 hour ago
E-commerce and Web Developer
Advancing Eco Agriculture
Remote, United States
…services to growers. We are searching for a full-stack E-commerce developer that has the ability to bridge design, software engineering, and digital retail strategy. They will focus heavily…

SAP

Senior Data & Applied Scientist - Ontologies & Semantics

Palo Alto, CA, United States

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Job details

Experience: 5+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
Posting language: English
Posted: Oct 30, 2026

Original job description

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

The context engine that makes AI enterprise ready.

Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Senior Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants.

What you'll build

The semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll build and scale the layer that makes that possible.

• Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, various external providers (such as Salesforce, Workday, ServiceNow), and MES/IoT systems into unified semantic layers.

• Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production.

• Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets.

• Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality.

• Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.

• Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.

• Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.

What you'll bring

Required Qualifications

• 5+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.

• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field

• Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.

• Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.

• Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.

• Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.

• Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).

• Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.

Preferred Qualifications

• Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end. (SAP knowledge is a strong accelerator)

• Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub.

• Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).

• Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.

• Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.

• Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.

• Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.

Where you belong

The Application AI team sits at the foundation layer - We build the LLM systems and intelligent infrastructure that run across SAP's global platforms, which means the work you do here doesn't just influence one product, it sets the direction for how AI operates at enterprise scale. A core part of that challenge is making AI genuinely understand the business not just process text, but reason over richly structured enterprise data through robust data ontologies and semantic knowledge frameworks that give models real context about how SAP's world is organized. This is a team that values engineers who think like owners: people who want to define the architecture, not just implement a spec. You'll work in an environment designed around trust and autonomy, where the expectation is that you move fast, make calls, and drive outcomes without layers of approval slowing you down.

#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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

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 148600-306300USD. 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.

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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More about this job

Skills

SAP
Salesforce
Workday
ServiceNow
MES
Business processes
Unstructured data
Data models
Databricks
AWS
Microsoft Azure
Google Cloud
Process improvement
Research
Computer science
Statistics
SPARQL
Python
SQL
ML
PyTorch
TensorFlow
Scikit-learn
Communication skills
Stakeholder management
Query languages
Machine learning
Deep learning
Leadership
ERP

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