IoT, Computer Vision & Industry 4.0 Solution Architect

About the role

An experienced IoT, Applications, Computer Vision and Industry 4.0 Solution Architect is sought to lead the design and governance of enterprise-scale digital transformation initiatives across manufacturing and industrial environments.

Key responsibilities

• Design end-to-end architectures covering Industrial IoT, Edge Computing, MES, ERP, Cloud, Data Platforms and Enterprise Applications.
• Architect Computer Vision and AI video analytics solutions for quality inspection, safety monitoring, defect detection, OCR, object tracking, PPE compliance and operational intelligence.
• Lead integration of MES, ERP, SCADA, PLCs, Historians, IoT platforms and enterprise systems.
• Define connectivity architectures using OPC UA, MQTT, Modbus, REST APIs, AMQP and HTTPS.
• Drive Industry 4.0 initiatives such as predictive maintenance, OEE monitoring, asset performance management, energy optimization, production visibility, traceability and digital twins.
• Design secure hybrid architectures across OT, IT, Edge, on-premise and cloud environments.
• Establish security, resilience, observability, disaster recovery and governance standards.
• Collaborate with business, engineering, cybersecurity, operations teams, OEMs and system integrators to deliver scalable solutions.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Electronics, Electrical or Automation Engineering, or a related field; Master's degree is an advantage.
• 8+ years in solution architecture and 3+ years in Industry 4.0 / Industrial IoT architecture.
• Proven experience delivering architecture solutions across IoT, Industry 4.0, computer vision, MES/ERP and cloud ecosystems.

Required skills

• Industrial IoT (IIoT) and smart manufacturing
• Computer vision and AI-based video analytics
• Edge computing and IoT platforms
• MES and ERP integration
• Cloud platforms (Azure, AWS, GCP)
• API, middleware and event-driven architecture
• Data platforms, analytics and AI/ML integration
• OT/IT convergence and industrial cybersecurity (ISA-95, IEC 62443, Purdue model)
• Preferred: SAP S/4HANA, Oracle ERP, Microsoft Dynamics 365, Siemens Opcenter, AVEVA, Rockwell FactoryTalk, Kafka, MuleSoft, Boomi, Kubernetes, edge AI platforms