Salary: £143,000 – 143,000 per year
Requirements:
- 12-15 years of progressive corporate experience spanning embedded systems engineering, IT/OT architecture, and enterprise IIoT consulting.
- Demonstrable track record of successfully delivering full-lifecycle digital factory or critical infrastructure projects using ISA-95 frameworks.
- Proven experience operationalizing AI/ML workloads within industrial or edge-constrained environments.
- Active, relevant certifications in Azure architecture (AZ-104, AZ-900, or equivalent IoT/AI specialties) are highly preferred.
Responsibilities:
- We act as the primary technical anchor for enterprise clients, translating complex industrial requirements into scalable, secure, and highly available edge-to-cloud architectures.
- We drive technical strategy for competitive bids and RFIs/RFPs, and deliver proof-of-concepts that showcase the convergence of IoT telemetry with generative and predictive AI.
- We lead and mentor global engineering teams, bridging offshore edge developers and on-site operational technology engineers.
- We design and deploy Retrieval-Augmented Generation pipelines to contextualize LLMs with proprietary OT data, maintenance manuals, and historian logs.
- We operationalize lightweight machine learning models as containerized Azure IoT Edge modules for anomaly detection, predictive maintenance, and closed-loop control.
- We architect data pathways that feed raw edge telemetry into enterprise AI platforms to optimize OEE and support autonomous operational workflows.
- We architect, provision, and troubleshoot custom Azure IoT Edge runtimes on hardened industrial gateways.
- We configure and secure Linux distributions for industrial use and orchestrate containerized workloads for real-time edge processing.
- We direct the physical and logical integration of critical infrastructure telemetry, including DGA sensors, SF6 gas analyzers, and environmental stations.
- We design and implement Azure IoT Hub, Device Provisioning Service at scale, Event Hubs, and Azure Functions.
- We build resilient, real-time ingestion pipelines feeding into ADX, data lake, and cloud-native AI/ML workspaces.
- We formulate and deploy Azure Digital Twins concepts to map complex physical operations to digital, event-driven architectures.
- We translate and acquire legacy and modern industrial protocols, including Modbus TCP/RTU, OPC-UA, BACnet, MQTT/AMQP, and configure LoRaWAN networks.
- We design and implement robust edge network connectivity, including IPSec VPNs, OpenVPN, and routing topologies over cellular and dedicated APNs.
- We implement stringent edge-to-cloud security governance, managing MQTTS/TLS 1.2 pipelines, X.509 certificate lifecycles, and secure device provisioning protocols.
Technologies:
- AI
- Architect
- Azure
- Cloud
- Embedded
- IoT
- Support
- Linux
- Machine Learning
- MQTT
- Network
- Security
- Docker
More:
We are seeking a highly authoritative Solution Architect to lead end-to-end Industry 4.0, IIoT, and Industrial AI deployments for enterprise infrastructure clients. This is a dual-faceted role that combines executive-level technical consulting with deep, hands-on engineering execution. The successful candidate will define the strategic OT/IT convergence roadmap while actively building, deploying, and troubleshooting complex containerized edge workloads, secure network topologies, and edge-native machine learning pipelines. The role also involves advanced industrial AI, cloud architecture, telemetry analytics, secure networking, and zero-trust IIoT security across enterprise and critical infrastructure environments.
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