AIS (Applied Information Sciences) logo
AIS (Applied Information Sciences)

A Partner That Brings Enterprise Cloud Transformation Full Circle

Azure Solution Architect - Industrial IoT

ArchitectArchitectFull TimeRemoteMid LevelTeam 501-1,000Since 1982H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

12 days ago

Salary

0

Seniority

Mid Level

Job Description

Azure Solution Architect - Industrial IoT

AIS (Applied Information Sciences)

Role Description We are seeking an experienced Azure Solution Architect – Industrial IoT to lead the design and deployment of secure, scalable, and reliable Industrial Internet of Things (IIoT) solutions in Microsoft Azure. This role is responsible for translating operational technology (OT) and business requirements into end-to-end cloud and edge architectures that enable industrial connectivity, telemetry ingestion, device management, analytics, and operational insights. The ideal candidate brings deep expertise in Azure services, industrial protocols, edge computing, cybersecurity, and systems integration across manufacturing, utilities, energy, or other industrial environments. Key Responsibilities - Lead the architecture, design, and technical governance of Azure-based industrial IoT and edge solutions. - Define end-to-end IIoT reference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edge compute, cloud ingestion, storage, analytics, and visualization. - Design solutions using Azure services such as Azure IoT Operations, Azure IoT Hub, Azure Event Hubs, Azure Data Explorer, Azure Functions, Azure Stream Analytics, Azure Kubernetes Service, Azure Arc, Azure Monitor, Microsoft Defender for IoT, and Azure Digital Twins as appropriate. - Architect secure and resilient connectivity patterns between plant-floor assets and Azure, including edge-to-cloud messaging, store-and-forward, intermittent connectivity handling, and remote site deployment models. - Develop strategies for ingesting and normalizing data from industrial protocols and systems such as OPC UA, Modbus, MQTT, BACnet, DNP3, and proprietary OEM interfaces. - Collaborate with OT engineers, plant operations, cybersecurity teams, infrastructure teams, and software developers to ensure solutions align with operational requirements and safety constraints. - Define device onboarding, identity, certificate management, lifecycle management, patching, and remote operations models for field and plant devices. - Design data architectures that support real-time monitoring, historian integration, predictive maintenance, condition monitoring, asset performance management, and advanced analytics use cases. - Ensure architectures incorporate security-by-design principles, including zero trust, network segmentation, role-based access control, secrets management, device hardening, and regulatory compliance. - Produce architecture artifacts including solution diagrams, interface definitions, security models, deployment patterns, migration plans, and implementation roadmaps. - Provide technical leadership during pilots, proof-of-concepts, and production deployments, including design reviews, troubleshooting, and performance optimization. - Establish non-functional requirements for availability, scalability, latency, resiliency, observability, and disaster recovery. - Support cost modeling, environment sizing, and cloud consumption planning for IIoT workloads. - Mentor engineering teams and provide architectural oversight across implementation and operational handoff. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience. - 8+ years of experience in solution architecture, cloud engineering, or enterprise systems integration. - 3+ years of experience designing or deploying industrial IoT / OT-integrated solutions in manufacturing, energy, utilities, transportation, mining, or similar industrial sectors. - Strong hands-on knowledge of Microsoft Azure architecture and services relevant to IoT, data, integration, security, and hybrid infrastructure. - Experience integrating cloud platforms with industrial environments, including PLCs, SCADA, MES, historians, industrial gateways, or plant-floor networks. - Understanding of industrial communications standards and protocols such as OPC UA, MQTT, and Modbus. - Experience with edge computing platforms, containerized workloads, and remote site deployment patterns. - Knowledge of OT and IoT cybersecurity principles, including asset visibility, network boundaries, device identity, certificate-based authentication, secure remote access, and threat monitoring. - Experience with infrastructure as code and automation using tools such as Bicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions. - Strong communication skills with the ability to engage both executive stakeholders and deeply technical engineering teams. Preferred Qualifications - Microsoft Azure certifications such as Azure Solutions Architect Expert, Azure Administrator, Azure Security Engineer, or IoT-related certifications. - Experience with Azure Arc-enabled Kubernetes, industrial edge gateways, or disconnected/low-connectivity operating environments. - Experience with historian platforms, time-series analytics, and digital twin modeling. - Familiarity with industrial cybersecurity standards and frameworks such as ISA/IEC 62443, NIST CSF, NERC CIP, or sector-specific controls. - Experience designing solutions for regulated or high-assurance environments. - Knowledge of data engineering and visualization platforms such as Power BI, Synapse, Fabric, or third-party industrial analytics tools. - Background in application integration, API design, event-driven architectures, and enterprise integration patterns. Compensation At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $0-$0 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

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