Senior AI Specialist - SAP & Industrial Integration

Job Description

• 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 predictive 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 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.

• Bachelor of Computer Science

Base Salary Range: $140,000 to $170,000 Per Annum

• Discretionary annual incentive.
• Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance.
• Family support: maternal & parental leaves.
• Insurance options: auto & home insurance, identity theft protection.
• Convenience & professional growth: commuter benefits & certification & training reimbursement.
• Time off: vacation, time off, sick leave & holidays.
• Legal & financial assistance: legal assistance, 401k plan, performance bonus, college fund, student loan refinancing.