At a Glance
- Tasks: Lead IIoT and Industrial AI deployments, driving innovative edge-to-cloud architectures.
- Company: Join a forward-thinking tech firm at the forefront of Industry 4.0.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to mentor global teams and influence industry standards.
- Why this job: Shape the future of industrial technology with cutting-edge AI and IoT solutions.
- Qualifications: 12-15 years in embedded systems, IT/OT architecture, and enterprise IIoT consulting.
The predicted salary is between 63000 - 77000 £ per year.
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 requiring a rare combination of executive-level technical consulting and 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.
Strategic Consulting & Client Leadership
- Customer-Facing Authority: Act as the primary technical anchor for enterprise clients, translating complex, high-stakes industrial requirements into scalable, secure, and highly available edge-to-cloud architectures.
- AI & IoT Roadmapping: Drive the technical strategy for competitive bids and RFIs/RFPs, delivering proof-of-concepts (PoCs) that showcase the convergence of IoT telemetry with generative and predictive AI.
- Cross-Functional Orchestration: Lead and mentor global engineering teams, bridging the gap between offshore edge developers and on-site operational technology (OT) engineers.
Industrial AI & Machine Learning Integration (Good to have)
- Generative AI & RAG Architectures: Design and deploy Retrieval-Augmented Generation (RAG) pipelines to contextualize Large Language Models (LLMs) with proprietary OT data, maintenance manuals, and historian logs for intelligent operator assistance and automated root-cause analysis.
- Edge AI & MLOps: Operationalize lightweight machine learning models as containerized Azure IoT Edge modules to execute real-time anomaly detection, predictive maintenance, and closed-loop control tasks directly at the asset level.
- Advanced Telemetry Analytics: Architect the data pathways required to feed raw edge telemetry into enterprise AI platforms, optimizing Overall Equipment Effectiveness (OEE) and driving autonomous operational workflows.
Advanced Edge & Embedded Engineering
- Hands-On Edge Deployment: Architect, provision, and troubleshoot custom Azure IoT Edge runtimes on hardened industrial gateways.
- OS & Container Mastery: Deep practical expertise in Linux environments (specifically configuring and securing distributions for industrial use) and orchestrating containerized workloads (Docker/Moby) for real-time edge processing.
- Complex Sensor Integration: Direct the physical and logical integration of critical infrastructure telemetry, including DGA sensors, SF6 gas analyzers, and environmental stations, handling complex data payload parsing.
Cloud Architecture & Data Orchestration
- Azure IIoT Ecosystem: Advanced design and implementation of Azure IoT Hub, Device Provisioning Service (DPS) at scale, Event Hubs, and Azure Functions.
- Data Topologies: Build highly resilient, real-time ingestion pipelines feeding into ADX, Data lake, and cloud-native AI/ML workspaces.
- Digital Twin Modeling: Formulate and deploy Azure Digital Twins concepts to map complex physical operations to digital, event-driven architectures.
Industrial Protocols & Secure Networking
- Protocol Translation: Deep, hands-on proficiency in acquiring and translating legacy and modern industrial protocols, including Modbus TCP/RTU, OPC-UA, BACnet, MQTT/AMQP, and configuring LoRaWAN networks for challenging RF environments.
- Advanced Networking: Design and implement robust edge network connectivity, including configuring IPSec VPNs, OpenVPN, and routing topologies over cellular and dedicated APNs.
- Zero-Trust IIoT Security: Implement stringent edge-to-cloud security governance, managing MQTTS/TLS 1.2+ pipelines, X.509 certificate lifecycles, and secure device provisioning protocols.
Qualifications & Experience
- 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 (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.
IIoT and Industrial AI Solution Architect in London employer: EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED
EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Sheffield. With competitive daily rates and opportunities for professional growth, employees are encouraged to develop their skills in cutting-edge technologies like Azure Cloud and CI/CD. The company values independence and creativity, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
Contact Details:
EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land IIoT and Industrial AI Solution Architect in London
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We think you need these skills to ace IIoT and Industrial AI Solution Architect in London
Some tips for your application 🫡
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How to prepare for a job interview at EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
