IoT & AI Integration Lead

Job Summary

Design and deliver connected device and analytics solutions, including IoT deployments from site survey through acceptance. Build internal technical capability and serve as the nominated certified resource with equipment and platform partners, with direct customer exposure through pilots and demonstrations.

Responsibilities

• Design and deploy low-power wide-area connectivity, principally LoRaWAN, including site survey, gateway placement, coverage planning, network server configuration, device provisioning, and RF troubleshooting.
• Select appropriate connectivity technology across LoRaWAN, cellular NB-IoT and LTE-M, 5G RedCap, Wi-Fi HaLow, Bluetooth LE, Thread, and satellite NTN based on coverage, power, cost, and data requirements.
• Specify, test, and commission sensors, gateways, and tracking devices for asset tracking, telematics, environmental monitoring, cold chain, occupancy, and indoor positioning using BLE, UWB, and GNSS.
• Deploy and tune video analytics on live sites, including camera and edge hardware selection, ONVIF and RTSP stream configuration, detection zones, rules, and acceptance testing against accuracy criteria.
• Own the device data layer, including payload decoders, MQTT topic design, device APIs, time-series storage, alerting logic, and operational dashboards.
• Enable business system and ERP integration by defining data models, publishing interface specifications, providing test data and sandbox access, and supporting integration teams.
• Manage device lifecycle covering remote device management, over-the-air firmware updates, certificate and identity handling, network segmentation, connectivity and SIM management, and spares strategy.
• Plan and execute customer pilots, proof-of-concept deployments, and live demonstrations for prospective clients, from scoping through results presentation.

Requirements

• Degree in Electrical, Electronics, Computer, Mechatronics, or Telecommunications Engineering, Computer Science, or related field, or equivalent professional qualifications and certifications.
• Minimum 8–10 years of proven practical experience in technical solution delivery, with at least 3 years delivering IoT projects to live production.
• Strong hands-on LoRaWAN experience covering gateways, network server platforms such as ChirpStack or The Things Stack, device onboarding, ADR tuning, and payload decoders.
• Practical working knowledge of cellular IoT including NB-IoT and LTE-M, connectivity and eSIM management, and awareness of 5G RedCap and satellite NTN.
• Demonstrated delivery of video analytics or computer vision in live environments, including edge inference hardware, camera integration over ONVIF and RTSP, and measured accuracy outcomes.
• Solid command of MQTT, REST APIs, JSON, webhook-based integration, and practical Python for data handling and automation.
• Experience with Bluetooth LE, UWB, Thread, GNSS, and industrial protocols such as Modbus, BACnet, and OPC UA.
• Working knowledge of time-series data platforms, Grafana or Node-RED, Linux administration, containers, and cloud or on-premise deployment.
• Practical understanding of device identity, certificates, secure provisioning, over-the-air updates, and network segmentation.
• Excellent written and verbal communication in English and Arabic, valid driving license, and ability to work independently in the field and manage multiple priorities.

We refresh listings regularly, but some roles close early on the source platform.