Principal Edge & OT Architect
Listed on 2026-05-31
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IT/Tech
Systems Engineer, Data Engineer
Position Overview
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
- 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.
Job Responsibilities1. Define Edge Architecture and Runtime
- Runtime environments (containers, orchestration)
- Deployment models (on-prem, hybrid)
Define integration with enterprise edge platforms and ensure scalability across multiple sites.
2. 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
Note:
Semantic translation and data modeling for OT data are governed by the Principal Manufacturing & Semantic Architect.
3. Enforce Semantic Model at the Edge
- Normalized
- Validated
- Aligned with canonical definitions before leaving the plant
Prevent "garbage-in" at scale.
4. Enable Edge-Based AI Inference
Design architecture to support:
Ensure:
- Low latency
- High reliability
5. Design for Security and Compliance
Implement:
- Secure communication (outbound-only patterns)
- Device identity and authentication
- Certificate management
Align with enterprise security standards.
6. Support Deployment and Lifecycle Management
Define:
- Update mechanisms
Ensure maintainability across sites and customers.
Partner with:
- Principal Manufacturing & Semantic Architect (canonical model enforcement at the edge)
- Principal Industrial AI Data Architect (data pipeline integration and edge inference data requirements)
- Platform Engineering (cloud-to-edge deployment and orchestration)
- Plant Operations teams (site-specific requirements and constraints)
Deep understanding of plant operations and constraints
Ability to design practical, deployable solutions
Strong problem-solving in constrained environments
Travel to manufacturing sites and partner locations as needed (~10–25%).
Minimum Qualifications- 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
- Experience with:
- Containerized environments (Docker, Kubernetes)
- Familiarity with:
- Cybersecurity in OT environments
- Real-time systems and constraints
- Operate as a thought leader in edge architecture and OT integration
- Influence without direct authority across multiple teams and partners
- Drive standards adoption for edge deployment and OT connectivity across internal and external stakeholders
- Balance long-term architectural vision with near-term delivery needs
We are an Equal Opportunity, Aff… status as a qualified individual with a disability or any other characteristic protected by law.
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