Negotiable
Undetermined
Hybrid
Remote or Houston, Texas
Summary: The role of AI Engineer focuses on building and deploying AI/ML solutions utilizing Databricks and SAP Business Data Cloud (BDC). The position aims to transform SAP data into scalable AI-driven insights for enterprise analytics and finance applications. The engineer will collaborate with various teams to ensure compliance with data governance and security standards. This role is primarily remote but may require occasional presence in the Houston, TX office.
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
Key Skills:
- 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
Salary (Rate): undetermined
City: Houston
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: AI Engineer - Databricks & SAP Business Data Cloud (BDC)
Location: Remote with sometime in Houston, TX 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 (Google Cloud Platform, Azure, or AWS)
- Finance or FP&A analytics experience is a plus