Solutions Architect

Role overview

Architecture and delivery

• Design end-to-end architectures spanning Industrial IoT, edge computing, MES, ERP, cloud, data platforms, and enterprise applications.
• Architect computer vision and AI video analytics 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 using OPC UA, MQTT, Modbus, REST APIs, AMQP, and HTTPS.
• Drive 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.
• Work with business, engineering, cybersecurity, operations, OEMs, and system integrators to deliver scalable solutions.

Required expertise

• Industrial IoT and smart manufacturing; computer vision and AI-based video analytics; edge computing and IoT platforms.
• MES and ERP integration; enterprise application architecture; cloud platforms including Azure, AWS, or GCP.
• API, middleware, and event-driven architecture; data platforms, analytics, and AI/ML integration.
• OT/IT convergence, industrial cybersecurity, ISA-95, IEC 62443, and the Purdue Model.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Electronics, Electrical Engineering, Automation Engineering, or a related field.
• 8+ years in solution architecture and 3+ years in Industry 4.0 or Industrial IoT architecture.
• Proven architecture delivery across IoT, Industry 4.0, computer vision, MES/ERP, and cloud ecosystems.
• A master's degree is advantageous.

Preferred technology exposure

• SAP S/4HANA, SAP Digital Manufacturing, Oracle ERP, and Microsoft Dynamics 365.
• Siemens Opcenter, AVEVA, Rockwell FactoryTalk, Azure Integration Services, and API Management.
• Kafka, MuleSoft, Boomi, Kubernetes, containers, and Edge AI platforms.