AI Process Automation Engineer

AI Process Automation Engineer

Key Responsibilities:

1. ITOT Integration

• Lead plant-floor data migration from automation systems (PLC/DCS/SCADA) to IT infrastructure in SAP and other enterprise systems.

2. Troubleshooting Knowledgebase Development

• Create diagnostic manuals, SOPs, and troubleshooting guides for all implemented automation and integration solutions.

3. Data Cleansing & Automated Data Flow

• Implement data cleansing strategies and automate data pipelines for ERP, dashboards, advanced analytics, and reporting systems.

4. Cross-Functional Coordination

• Collaborate with IT and process teams to resolve data logging issues and ensure seamless data flow.

5. Daily System Health Monitoring

• Perform routine health checks of systems, servers, and connected OT networks.

6. Server & Network Maintenance

• Ensure smooth functioning, upkeep, and security of servers and networking components used for automation integration.

7. Issue Resolution & Support

• Resolve day-to-day problems, complaints, and discrepancies related to data logging and system performance.

8. System Modifications

• Carry out addition, deletion, or modification of data tags/signals based on business or process requirements.

9. Spare Management

• Manage and maintain inventory of critical spare parts for automation and ITOT systems.

10. Backup & Restore

• Perform periodic system backups and restore activities to secure and maintain system reliability.

11. System Upgrades

• Execute software and hardware upgrades, including OS/Windows updates, ensuring system stability and compatibility.

What We're Looking For

• Strong understanding of industrial automation systems (PLC/DCS/SCADA).

• Experience in ITOT integration, data engineering, or automation systems.

• Hands-on experience with SAP data interfaces, dashboards, or analytics tools.

• Problem-solving mindset with strong diagnostic skills.

• Ability to work across IT, process, and operations teams.