Principal Edge & OT Architect

Hexion Careers • Remote, OH

3d • Hybrid

About The Position

The Principal Edge & OT Architect is responsible for designing and governing the edge architecture and OT integration layer that connects manufacturing systems to the digital platform. This role ensures reliable and secure data ingestion from plant systems, consistent implementation of the semantic model at the edge, and support for real-time AI inference and decision-making. This role ensures that what is designed in the cloud can actually work in the plant.

Requirements

• Bachelor's degree in Engineering — Electrical, Computer, Chemical, Industrial, or related field (Master's preferred)
• 10+ years of experience in OT systems, industrial automation, or edge/IoT architectures
• Strong experience with PLC/DCS/SCADA systems and industrial protocols (OPC-UA, Modbus, MQTT)
• Experience with edge-enabled inference model deployment
• Experience integrating OT with IT/cloud platforms

Nice To Haves

• Experience with enterprise edge platforms (e.g., Dell NativeEdge, Azure IoT Edge, AWS IoT Greengrass)
• Experience with containerized environments (Docker, Kubernetes)
• Experience with cloud platforms (AWS preferred)
• Familiarity with cybersecurity in OT environments
• Familiarity with real-time systems and constraints

Responsibilities

• Define Edge Architecture and Runtime: Design edge platform including runtime environments (containers, orchestration) and deployment models (on-prem, hybrid). Define integration with enterprise edge platforms and ensure scalability across multiple sites.
• Integrate OT Systems (Technical Integration): Own the technical connectivity and protocol-level integration with OT systems. Define integration patterns for PLCs, DCS, SCADA systems, historians, and industrial data sources. Support protocols such as OPC-UA, Modbus, and MQTT. Ensure compatibility with existing plant infrastructure.
• Enforce Semantic Model at the Edge: Ensure data is normalized, validated, and aligned with canonical definitions before leaving the plant. Prevent "garbage-in" at scale.
• Enable Edge-Based AI Inference: Design architecture to support local model execution and real-time decision-making. Ensure low latency, high reliability, and offline capability.
• Design for Security and Compliance: Implement secure communication (outbound-only patterns), device identity and authentication, and certificate management. Align with enterprise security standards.
• Support Deployment and Lifecycle Management: Define edge deployment processes, update mechanisms, and version control for edge components. Ensure maintainability across sites and customers.
• Collaborate Across Teams: Partner with Principal Manufacturing & Semantic Architect, Principal Industrial AI Data Architect, Platform Engineering, and Plant Operations teams to ensure consistent execution across domains.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal