AI Engineer – ERP & Digital Operations (DFF OPS)

  • Riyadh
  • Permanent
  • Full-time
  • 5 days ago
Role OverviewWe are seeking an AI Engineer to design and implement AI-driven operation applications (OPS) within our Dynamic ERP migration (Double Click → Odoo) and AI Factory initiative. The engineer will be central in digitising the RFQ→Quote process, building a secure Data Lake, integrating with Salesforce/Odoo/M365, and enabling Smart Quotation Engines. This role blends AI/ML development with ERP process automation, ensuring our operations become data-driven, efficient, and scalable.⸻Key Responsibilities
  • ERP + AI Integration: Embed AI capabilities into Odoo ERP modules (Sales, Inventory, Supplier Management).
  • RFQ→Quote Automation: Build parsing models to extract fields from emails/website RFQs; support supplier matching and outreach with human-in-the-loop AI.
  • Smart Quotation Engine: Develop RAG-based assistants using catalogs, specs, and certificates to speed up quotation creation.
  • Data Lake & BI: Design pipelines from ERP/CRM/email into Azure Data Lake; ensure data readiness for Power BI dashboards.
  • Predictive Analytics: Implement forecasting (demand, lead-times, margins) and anomaly detection on supplier/quote data.
  • Integrations: Develop connectors and APIs to sync Odoo, Salesforce, and M365 with minimal failure rate.
  • Governance: Ensure data quality (deduplication, cleansing), security, RBAC, and compliance across all AI modules.
  • Collaboration: Work with cross-functional teams (sales, technical, ERP integrators) to translate business workflows into AI applications.
⸻Qualifications
  • Bachelor/Master’s in Computer Science, AI, or Data Engineering.
  • Hands-on experience with ERP platforms (Odoo preferred; SAP/Oracle/MS Dynamics a plus).
  • Strong skills in Python, APIs, SQL, NLP, ML frameworks (PyTorch/TensorFlow).
  • Familiarity with Azure Data Lake / Fabric, Power BI, M365 Graph.
  • Experience with RAG, vector databases (pgvector, FAISS), Streamlit/fastAPI.
  • Understanding of supply chain and quotation processes is highly desirable.
⸻Preferred
  • Prior experience in RFQ→Quote automation or B2B procurement systems.
  • Background in manufacturing/lighting or industrial operations.
  • Exposure to IoT/ERP integrations and workflow automation (RPA).
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