Senior AI Specialist – SAP & Industrial Integration

AI Strategy & Solution Design

Lead end-to-end design and delivery of AI/ML solutions for manufacturing and ERP-integrated use cases including predictive maintenance, demand forecasting, quality control, and process automation.

Architect and implement Generative AI solutions leveraging LLMs for intelligent document processing, chatbots, anomaly detection, and decision-support systems within ERP environments.

Define AI use case roadmaps aligned to manufacturing business processes such as production planning (PP), materials management (MM), plant maintenance (PM), and sales & distribution (SD).

Develop and validate ML models for structured data from ERP systems including SAP S/4

HANA, ECC, leveraging Python-based frameworks (scikit-learn, Tensor Flow, PyTorch, XGBoost).

Integrate AI/ML outputs back into ERP workflows, dashboards, and reporting layers for real-time business impact.

Design scalable AI/ML architectures on cloud platforms (Azure, AWS) with connectors to SAP ECC SAP S/4

HANA, and Snowflake for end-to-end data pipelines feeding AI models.

Build and maintain feature engineering pipelines ingesting manufacturing data (IoT sensors, MES, SAP transactional data) for real-time and batch AI inference.

Configure Retrieval-Augmented Generation (RAG) architectures, vector stores, and LLM API integrations to enable intelligent Q&A over enterprise ERP and manufacturing knowledge bases.

Develop and maintain MLOps pipelines using tools such as MLflow, Azure ML, or Sage Maker for model versioning, drift monitoring, and automated retraining.

Lead end-to-end implementation of Predictive Maintenance, Cost Planning, Manufacturing Analytics, Production Planning AI, and Rolling Forecast processes within SAC.

Configure driver-based planning models, allocation rules, distribution & spreading logic, and advanced formula-based calculations.

Set up Planning Calendars, workflows, task assignments, and review/approval cycles (Schedule phase).

Enable Predict capabilities: configure automated time-series forecasting (predictive scenarios) and planning propositions using SAC built-in ML features.

Support ACT vs. BUD variance analysis, asymmetric reporting, and management reporting dashboards.

Develop AI-powered APIs and microservices using Python (FastAPI/Flask) and Lang Chain / RAG to expose ML model inference endpoints to ERP and manufacturing applications.

Build Python-based ETL and feature engineering pipelines to transform raw SAP/ERP transactional data into AI-ready datasets stored in Snowflake or cloud data lakes.

Create Lang Chain or similar GenAI orchestration workflows integrating LLMs with structured ERP data to power intelligent assistants and automated reporting tools.

Perform data modeling and semantic layer design in SAP BW/4

HANA or Snowflake to support AI feature stores and analytical use cases for manufacturing operations.

Manage model governance, AI ethics guidelines, data access controls, and compliance requirements for AI deployments in regulated manufacturing environments.

Partner with Manufacturing, Operations, Supply Chain, and IT stakeholders to gather AI use case requirements, run discovery workshops, and translate business needs into scalable AI solutions.

Conduct model validation, UAT, end-user training, and knowledge transfer to plant managers, operations analysts, and SAP functional teams.

Collaborate with SAP functional consultants (FI/CO, MM, PP, SD) and data engineering teams on AI integration governance and model deployment cycles.