JB
AI Engineer – Databricks & SAP Business Data Cloud (BDC)
Jade Business Services (JBS)
Houston · Hybrid Contract Senior Yesterday
About the role
AI Engineer – Databricks & SAP Business Data Cloud (BDC)
Location
Remote with sometime in Houston office
Role Overview
We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and SAP Business Data Cloud (BDC). This role focuses on transforming trusted SAP data into scalable AI-driven insights for enterprise analytics and finance use cases.
Key Responsibilities
- Design, build, and deploy AI/ML models using Databricks
- Develop data pipelines and feature engineering using Spark / Delta Lake
- Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
- Enable governed, zero-copy data sharing between SAP and Databricks
- Productionize models using MLflow, model serving, and monitoring
- Partner with Finance, Analytics, and IT teams on AI use cases
- Ensure compliance with data governance, security, and enterprise standards
Required Qualifications
- 5+ years in AI/ML, Data Engineering, or Analytics Engineering
- Hands‑on experience with Databricks (Spark, Delta Lake, MLflow)
- Strong Python and SQL skills
- Experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
- Experience building production‑grade data and ML pipelines
Preferred Qualifications
- Experience with Generative AI / LLMs on Databricks
- Knowledge of SAP Business Data Cloud (BDC) and Delta Sharing
- Cloud experience (GCP, Azure, or AWS)
- Finance or FP&A analytics experience is a plus
Requirements
- 5+ years in AI/ML, Data Engineering, or Analytics Engineering
- Hands-on experience with Databricks (Spark, Delta Lake, MLflow)
- Strong Python and SQL skills
- Experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
- Experience building production-grade data and ML pipelines
Responsibilities
- We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and SAP Business Data Cloud (BDC)
- This role focuses on transforming trusted SAP data into scalable AI-driven insights for enterprise analytics and finance use cases
- Design, build, and deploy AI/ML models using Databricks
- Develop data pipelines and feature engineering using Spark / Delta Lake
- Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
- Enable governed, zero-copy data sharing between SAP and Databricks
- Productionize models using MLflow, model serving, and monitoring
- Partner with Finance, Analytics, and IT teams on AI use cases
- Ensure compliance with data governance, security, and enterprise standards
Skills
AWS LambdaAzureDatabricksDelta LakeDelta SharingDockerGCPGenerative AILLMsMLflowPythonSAP BDCSAP DatasphereSparkSQL
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