SAP NS2 Principal AI Data Engineer- Hybrid: Herndon, VA jobs in United States
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SAP · 9 hours ago

SAP NS2 Principal AI Data Engineer- Hybrid: Herndon, VA

SAP is the global market leader for business software and related services, and SAP National Security Services Inc.® (SAP NS2®) is an independent U.S. subsidiary. The role involves leading the architecture and development of a secure AI platform, focusing on building data pipelines and ensuring data independence for AI applications.

AnalyticsBusiness IntelligenceBusiness Process Automation (BPA)ComputerData ManagementFinanceSoftware
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Growth Opportunities
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Build the Independent Data Foundation: Personally design and deploy localized data stores (Milvus, OpenSearch) to serve as the "brain" for private AI
Code Resilient Pipelines: Write Python-based ETL/ELT pipelines to ingest, clean, and format data from "Internal" and "Restricted" sources (Splunk, ServiceNow, Dynatrace)
Engineer Data Independence: Implement strict RBAC and Data Classification controls at the ingestion layer to ensure "Restricted" data never leaks to public models
API Development: Wrap data services as APIs (FastAPI) to be consumed programmatically by the AI development team
Data Curation for Fine-Tuning: Build pipelines specifically designed to clean and anonymize proprietary data for fine-tuning off-the-shelf models

Qualification

Advanced PythonVector & Search TechContainerization & IaCPipeline OrchestrationSAP TechnologiesObservability StackGraph DatabasesMission-OrientedBuilder MindsetTrust & Safety

Required

Must be a US Citizen; this position requires access to customer data
Advanced Python: Mastery of Python for backend development and data manipulation
Vector & Search Tech: Deep implementation experience with Vector Stores (Milvus, Weaviate) and OpenSearch
Containerization & IaC: Hands-on experience with Kubernetes (K8s) and provisioning resources via Terraform/Ansible
Pipeline Orchestration: Proficiency in building pipelines using Airflow, Cribl, or custom Python orchestrators

Preferred

SAP Technologies: Familiarity with SAP AI Core, SAP HANA, or Datasphere
Observability Stack: Experience with OpenSearch, Prometheus, or Dynatrace
Graph Databases: Familiarity with Neo4j or similar to model complex relationships between infrastructure assets

Benefits

SAP North America Benefits

Company

SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services.

Funding

Current Stage
Public Company
Total Funding
$1.3B
Key Investors
Elliott Management Corp.
2019-04-24Post Ipo Equity· $1.3B
2015-06-01Grant· $1.37M
1998-08-03IPO

Leadership Team

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Christian Klein
CEO & Member of the Executive Board
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Sandi de Souza
Chief Financial Officer: Africa
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