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Added 9 mins ago
Staff Software Engineer, Agentic Workflows
Intuit
New York, NY
…this role, you will partner closely with Sales, Product, and Engineering teams to solve complex technical challenges that block new customer acquisition and onboarding. You will be crucial…
Added 21 mins ago
ES
GIS Account Manager - Utilities, Telecom, Rail
Environmental Systems Research Institute Inc.
Louisville, CO
- $70,304 to $131,040 USD / year
…Understand customer budgeting and acquisition processes. Use solution selling skills to understand the needs and business challenges of…
Added 38 mins ago
Sr. Solutions Engineer
Fortra LLC. ( HelpSystems LLC )
Eden Prairie, MN
Continuously refine and improve business analysis, solution design, and sales engineering processes to drive efficiency, consistency, and better customer outcomes.
Added 38 mins ago
IT Cloud Engineer, Engineering Platform Automation
Mayo Clinic
Rochester, MN
The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic's Engineering Front Door - a cloud-native…
Added 38 mins ago
SI
Systems Application Engineer II
SICK, Inc.
Minneapolis, MN
- $83,640 to $126,500 USD / year
Participate in customer discovery sessions to uncover unmet needs and translate them into actionable solution requirements.
Added 38 mins ago
Assembler 1/Assembler 1 Line 1
Rolls-Royce
Mankato, MN
…one of the world's most recognized brands and a beacon for engineering…
Added 43 mins ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
…in AI-powered development, full-cycle product creation, and engineering team augmentation. Our mission is simple: build bolder, faster, and…
Added 46 mins ago
Software Engineering Technical Leader
Cisco Systems, Inc.
Milpitas, CA
The Routing Engineering team for the Cisco 8000 platform focuses on developing high-performance software solutions for cloud-scale infrastructure within the IOS-XR environment.
Added 1 hour ago
BS
Advisor, Salesforce Solutions
BME Strategies
Remote, United States
- $87,360 to $120,640 USD / year
…contributes valuable public health domain expertise to drive superior solution design. Far from an isolated engineering role, this position centers on active pair programming, dynamic…
Added 1 hour ago
VP, Product Management (Platform & Growth)
Immortals
Remote, United States
Full-Solution E-commerce: Optimize the purchase and renewal experience for our total health solutions, including supplements, prescription medicines, and biomarker testing.
Added 1 hour ago
W
(USA) Senior, Software Engineer
Walmart
SUNNYVALE, CA
- $117,000 to $234,000 USD / year
Own delivery of scoped features and models through collaborative engineering teams, ensuring alignment with platform and system objectives.
Added 1 hour ago
Solutions Lead, International Upmarket
Toast
Remote, United States
Architect the solution. Design how Toast fits into a multi-location group's existing stack:
Added 1 hour ago
Clinical Specialist - Raleigh, NC
BD (Becton, Dickinson and Company)
Covington, GA
…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 impossible and find…
Added 2 hours ago
Director, Identity Access Management
KPMG LLP
Jackson, MS
Added 2 hours ago
Manager, Identity Access Management
KPMG LLP
Jackson, MS
Added 2 hours ago
UO
Research Computing Storage Administrator
University of Colorado Denver
Boulder, CO
- $70,900 to $77,980 USD / year
Bachelor's Degree in science, engineering, or other related field. A combination of education and relevant experience as described below may be substituted for the degree on a year for year…
Added 2 hours ago
UO
Senior FPGA Development Engineer
University of Colorado Denver
Boulder, CO
- $34,986 USD / year
Added 2 hours ago
Senior Full Stack Salesforce Developer
Better Impact
Remote, United States
…teams to understand problems, determine the right technical solution, and occasionally support client-specific projects or technical…
Added 2 hours ago
Algorithmic Trading Analyst
BestEx Research
Stamford, CT
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution…
Added 2 hours ago
Program Manager, Trading Technology
BestEx Research
Stamford, CT
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution…
Added 2 hours ago
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Software Developer Engineer [Job Code: R8267]
Orion Steel Group
Pueblo, CO
- $86,600 to $150,738 USD / year
…requirements, defining operation requirements, designing the solution, develop the code, implement the application and testing to meet or exceed quality standards using established process…
Added 2 hours ago
Analytics Engineer
Benchmark Utility Services
Remote, United States
Documents each solution's design, rationale, and support requirements
Added 3 hours ago
TA
Sr. Space Based Environmental Monitoring (SBEM) Strategic Architect
The Aerospace Corpor
Colorado Springs, CO
- $151,300 to $226,900 USD / year
We're not just building satellites; we're constructing the future of defense, one innovative solution at a time. As the trusted partner to the nation's space programs, we tackle the most…
Added 3 hours ago
MS
Sr Engineer - Systems Design & Implementation
Motorola Solutions, Inc.
Denver, CO
- $90,000 to $100,000 USD / year
The Sr Engineer - Systems Design & Implementation will serve as the primary technical leader and solution owner for the implementation of complex public safety software, including body…
Added 3 hours ago
MS
Field Engineer - Emergency Call Handling
Motorola Solutions, Inc.
Denver, CO
- $75,000 to $85,000 USD / year
Provides support to Customer and Channel Partners while deploying the ECH solution into a production environment.

SAP

Principal Data & Applied Scientist - Ontologies & Semantics

Palo Alto, CA, United States

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Job details

Experience: 8+ 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 Principal 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

• 8+ 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 198200-420000USD. 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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