Senior Enterprise AI Scientist — Semantic Data & LLMs

SAP; Palo Alto (CA); On-site; USD 149,000 - 306,000; Full time

Job summary

SAP is seeking a senior AI/Data Engineer to build the semantic foundation for SAP's AI across enterprise data landscapes. You will design ontologies, implement semantic models, and integrate data from SAP and external sources to support accurate AI agents in production.

You will deploy and operate AI/ML solutions with a focus on reliability, governance, and cross‑functional collaboration in a complex enterprise environment.

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; understanding of RDF vs property graphs.
• Hands‑on experience with GenAI systems (RAG, embeddings, vector databases) and semantic retrieval.
• 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; lifecycle support and continuous improvement.
• Experience with big data infrastructure and cloud environments (Databricks) and at least one major cloud (AWS/Azure/GCP).
• Excellent communication and stakeholder management skills in agile environments.

Responsibilities

• Design and maintain enterprise ontologies and semantic models enabling accurate AI grounding across SAP, Salesforce, Workday, and more.
• Build AI capabilities including RAG pipelines, embeddings, vector databases, and knowledge grounding for production use.
• Develop generative AI and LLM‑based solutions using enterprise data, knowledge graphs, and business process intelligence.
• Ground AI solutions in real‑world business processes like Order‑to‑Cash, Procure‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce.
• Collaborate with cloud and data platforms (Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, GCP) to ensure scalable workflows.
• Partner with product, engineering, and business teams to translate challenges into concrete AI solutions from concept to deployment.
• Apply machine learning and statistical modeling to evaluate AI solutions on real datasets.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Python

SQL

ML libraries (PyTorch, TensorFlow, sc

Education

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

Tools

SPARQL/Cypher/GQL

Databricks

Cloud platforms (AWS/Azure/GCP)

Job description

SAP is seeking a senior AI/Data Engineer to build the semantic foundation for SAP's AI across enterprise data landscapes. You will design ontologies, implement semantic models, and integrate data from SAP and external sources to support accurate AI agents in production.

You will deploy and operate AI/ML solutions with a focus on reliability, governance, and cross‑functional collaboration in a complex enterprise environment.