Senior AI Specialist SAP & Industrial Integration
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Job Location:
Alpharetta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities:
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/4HANA ECCleveraging Python-based frameworks (scikit-learn TensorFlow PyTorch XGBoost).
Integrate AI/ML outputs back into ERP workflows dashboards and reporting layers for real-time business impact.
AI Platform Architecture & ERP Integration
Design scalable AI/ML architectures on cloud platforms (Azure AWS) with connectors to SAP ECC SAP S/4HANA
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 SageMaker for model versioning drift monitoring and automated retraining.
AI Use Case Implementation & Delivery
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.
Development & Technical Implementation
Develop AI-powered APIs and microservices using Python (FastAPI/Flask) and LangChain / 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 LangChain or similar G enAI 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/4HANA 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.
Collaboration & Stakeholder Management
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.
Prepare and present AI solution design documents proof-of-concept demos and business value assessments to senior stakeholders
