Find work in the United States.

5,996,611 jobs across our US network. How we count

Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
A
Environmental Health & Safety Manager
Aerotek
Torrance, CA
- $115,000 to $135,000 USD / year
Lead the design, development, and implementation of comprehensive environmental health and safety programs across all company facilities and customer deployment sites.
Added 12 mins ago
J
VP of Product
Jobgether
Remote, United States
- $250,000 to $350,000 USD / year
Define product metrics and reporting mechanisms, using data and performance insights to identify gaps, measure progress, and drive continuous improvement.
Added 12 mins ago
Vice President, Enterprise Revenue Operations
Jobgether
Remote, United States
…leaders and teams to make better decisions through reliable data and actionable insights. This is a high-impact executive opportunity to engineer growth at scale within a technology-enabled…
Added 12 mins ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
…with customer engineering teams, operators, and executives to design architectures, build automation, troubleshoot systems, and guide deployments from initial discovery through operational…
Added 12 mins ago
J
Lead Communication Strategist
Jobgether
Remote, United States
- $90,000 to $99,000 USD / year
Experience in related creative or digital specialties, such as marketing, video, photography, or website design, is an advantage.
Added 12 mins ago
Forward Deployed Software Engineer
Jobgether
Remote, United States
…challenges. You will partner directly with strategic customers to design and implement scalable solutions while contributing to the evolution of a core SaaS platform. Combining hands-on…
Added 12 mins ago
J
Creative Director
Jobgether
Remote, United States
- $180,000 to $220,000 USD / year
Strong expertise across art direction, copywriting, design, motion, and photography, with the creative judgment to elevate work at every stage.
Added 12 mins ago
Data Scientist (poly required)
The MASY Group
Bethesda, MD
Collect, clean, analyze, and interpret data and information for the development and execution of projects at hand
Added 12 mins ago
Data Scientist
The MASY Group
Bethesda, MD
Collect, clean, analyze, and interpret data and information for the development and execution of projects at hand
Added 12 mins ago
Data and Report Analyst (poly required)
The MASY Group
Bethesda, MD
Collect, clean, analyze, and interpret data and information for the development and execution of projects at hand
Added 15 mins ago
IC
Semiconductor Device Modeling Engineer
Intel Corporation
OR
- $173,660 to $330,340 USD / year
…state-of-the-art process technology which allows customers with diverse design needs to enable best-in-class products for data-centric applications. As a semiconductor device modeling…
Added 15 mins ago
IC
Thin Films Module Development Engineer
Intel Corporation
OR
- $155,520 to $255,200 USD / year
…problem statements, establish a roadmap and timeline, lead with data and partner with stakeholders to deliver on-time…
Added 15 mins ago
IC
Data Center SoC Power Architect
Intel Corporation
TX
- $190,610 to $269,100 USD / year
…the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something…
Added 15 mins ago
Software Engineer in Test
Capgemini
Dallas, TX, TX
…more test tools and test techniques, you can independently design and execute test automation solutions. You follow the latest developments in your field and you know what is going…
Added 18 mins ago
Petroleum Economist 1/2 (PCN 043268)
State of Alaska
Anchorage, AK
Analyze Alaska’s oil & gas tax and production data by compiling, validating, and interpreting monthly and annual tax returns, including payments, production volumes, lease expenditures, and…
Added 21 mins ago
Client Enablement Specialist
Norstella
Lincoln, NE
Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and…
Added 21 mins ago
Commercial Enablement Manager
Norstella
Lincoln, NE
…like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s…
Added 21 mins ago
Senior Manager, Operational Risk Management Liaison Team
Charles Schwab
Omaha, NE
Oversee and challenge the design, implementation, and maintenance of business processes and controls to manage relevant risks.
Added 21 mins ago
Field Sales Manager
Arrow Electronics
Lincoln, NE
…Manager/ Sales Director on strategy and customer plans. Through data analysis and past experience make solid decisions on strategy and direction. Direct value added sales opportunities by…
Added 22 mins ago
Director, Office of Technology Services
Tyler Junior College
Tyler, TX
Partner with the CIO and Deputy CIO to develop the enterprise-wide strategic technology roadmap and design innovative technology strategies. Develop vision, long- and short-term planning,…
Added 26 mins ago
W
(DNEA) Digital Network Explotation Analyst 3
Wyetech
Fort Meade, MD
- $64.35 to $81.33 USD / hour
…experience working with Signals Intelligence (SIGINT), cybersecurity data, and network analysis…
Added 28 mins ago
Field Sales Manager
Arrow Electronics
Brookings, SD
…Manager/ Sales Director on strategy and customer plans. Through data analysis and past experience make solid decisions on strategy and direction. Direct value added sales opportunities by…
Added 33 mins ago
Systems Integration Engineer SME
Peraton Inc
Fort Huachuca, AZ
Added 33 mins ago
B(
Field Inventory Coordinator - Tempe, AZ
BD (Becton, Dickinson and Company)
Tempe, AZ
- $21.1 to $32.7 USD / hour
…feat. It takes the imagination and passion of all of us - from design and engineering to the manufacturing and marketing of our billions of MedTech products per year - to look at the…
Added 33 mins ago
Salesforce - Delivery Senior Consultant, Configuration and Integration Solutions
Deloitte
Gilbert, AZ
…analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through…

SAP

Senior Data & Applied Scientist - Ontologies & Semantics

Palo Alto, CA, United States

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job