AI Implementation & Engineering Team Leader

Job Purpose:

Responsible for developing custom AI applications and driving their active adoption across Elsewedy Electric's Electrical Products sector. The role bridges advanced technology and industrial operations by building, integrating, and embedding AI solutions into manufacturing workflows — translating technical capability into measurable improvements in production efficiency and operational quality.

Key Responsibilities:

1. AI Tools Development & Engineering

• Custom Application Development: Design, prototype, and deploy internal AI-powered tools, custom assistants, and automated workflows (e.g., leveraging LLM APIs, RAG pipelines, or agentic frameworks) tailored to manufacturing needs.
• System Integration: Develop scripts, APIs, and middleware to seamlessly connect AI tools with existing infrastructure, including Manufacturing Execution Systems (MES), ERPs, and IoT machinery.
• Rapid Prototyping: Build quick-to-market Proof of Concepts (PoCs) to validate AI use cases within the transformer and busway business units before scaling.

2. Data Governance & Preparation

• Data Preparation: Participate actively in gathering, structuring, and organizing operational data from MES, IoT sensors on machinery, and ERP systems to feed into developed AI tools.
• Data Cleansing: Perform hands-on data cleansing to ensure high-quality, reliable datasets are available for automated systems and analytical tools.
• Data Pipeline Monitoring: Maintain rigorous standards for data ingestion to ensure the accuracy and reliability of internal AI applications and predictive models.

3. AI Adoption & Change Management

• Drive AI Utilization: Actively lead, promote, and enforce the daily use of both internally developed and third-party AI solutions across the Electrical Products sector.
• Cross-Functional Coordination: Serve as the primary liaison between technical teams, management, and factory-floor operations to ensure alignment and user-friendly tool design.
• Proactive Follow-up: Continuously monitor implementation progress, gather feedback from departmental heads, and troubleshoot technical or adoption bottlenecks.
• Management Reporting: Leverage strong management backing to report on adoption metrics, tool performance, ROI, and areas requiring strategic intervention.

Technical competencies:

· AI Development: Builds and deploys AI applications, LLM-based tools, and automated workflows.

· System Integration: Connects AI solutions with MES, ERP, and IoT systems via APIs and middleware.

· Data Engineering: Handles data preparation, cleansing, and pipeline monitoring to ensure reliable outputs.

· Manufacturing Knowledge: Understands production workflows and factory-floor operations.

· Rapid Prototyping: Quickly builds and validates Proof of Concepts before scaling.

Qualification & Education:

· Education: Computer Science, Data Science, or a related field

· Years of Experience: 7+ years of experience in technical project coordination, data engineering, or systems implementation—ideally within an industrial manufacturing setting