Principal Data and Applied Scientist

SAP; Montreal (administrative region); On-site; CAD 145,000 - 323,000; Full time

Job summary

SAP is seeking an experienced Data and Applied Scientist to build the semantic foundation for SAP's AI agents. You will design ontologies, implement semantic models, and scale AI capabilities grounded in enterprise data and processes.

You will collaborate with data labs and CX teams to translate business challenges into robust AI solutions, leveraging Databricks, SAP Datasphere, and major cloud platforms for reliable, scalable workflows.

Qualifications

• 8+ years of experience in knowledge engineering or applied AI in industry or research labs.
• Hands-on experience designing enterprise ontologies and semantic models.
• Strong Python and SQL skills with production-grade practices and ML libraries.

Responsibilities

• Design and maintain ontologies and semantic models for enterprise AI agents.
• Build AI capabilities including RAG pipelines, embeddings, and knowledge grounding.
• Develop AI using enterprise data, knowledge graphs, and business process semantics.
• Work with cloud data platforms to enable scalable AI workflows.
• Collaborate across product, engineering, and customer teams to deliver solutions.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Python

SQL

ML libraries

Cloud platforms

Communication

Education

Master's or PhD in Computer Science / Applied Mathematics / Statistics / Engineering

Tools

SPARQL

Cypher

GQL

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

AWS

Azure

GCP

Job description

We help the world run betterAt 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.

We help the world run betterAt 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.
Data and Applied Scientist
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 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.
Where you belong
You will be part of Data Labs within the CX Office of the CTO, a strategic organization embedded in SAP Customer Experience. We define the AI strategy and architecture vision for next-generation CX solutions and ensure seamless integration across the SAP ecosystem. Our team works collaboratively across SAP product units, engages deeply in technology strategy, and partners closely with customers and external communities. We strive to create meaningful impact through world‑class architecture, innovation, and industry‑driven expertise.
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, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers 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.
• Experience applying AI and semantic modeling to CX or Retail use cases such as personalization, pricing, product discovery, demand forecasting, or customer data unification across B2B and B2C contexts.

#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: [e-mail].
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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.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards 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 combined range for this position is 144600-322500CAD. 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. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.
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