System Solution Architect – Drive Scalable Innovation in Industrial Automation

System Solution Architect – Drive Scalable Innovation in Industrial Automation

488251

09-Dic-2025

Remoto

System Solution Architect – Drive Scalable Innovation in Industrial Automation

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. We do this through empowering customers by combining the real and digital worlds, thereby improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving.

That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

The Siemens DI Sales organization ideally focuses on providing solutions tailored to the specific needs of companies operating across a multitude of discrete, process, and hybrid industries. The Xcelerator Deployment organization plays a crucial role in understanding needs of forward-thinking customers, positioning Siemens as a technology leader to drive digital transformation today and tomorrow for and with our customers, aligning the value of innovative and evolving Siemens solutions with customer pain points, and deploying a combination of existing, evolving and exploring product portfolio elements (HW, SW, Services) as functional solutions at customer sites, continuously learning and constantly improving.

We are looking for System Solution Architect. This position is remote but candidate must be located in greater Chicago, IL.

• Architecting scalable, validated industrial solutions that drive innovation and customer value
• Leading technical incubation and deployment with cross-functional teams and integration partners
• Designing modular system packages and defining in-scope capabilities with clear implementation guidance
• Piloting and validating emerging technologies with direct customer input and CTO Field Office support
• Ensuring seamless integration across legacy IT and modern platforms from control systems to cloud
• Balancing feasibility, cost, maintainability, and compatibility across the system lifecycle
• Collaborating to extract reusable assets and support intuitive enablement channels
• Driving pre-system testing and readiness assessments for scalable deployment
• Building trusted relationships through co-innovation and strategic technical leadership

You’ll win us over by having the following qualifications:

Basic Qualifications:

• Bachelor’s degree in mechanical/electrical engineering, computer science, or IT with focus on automation, simulation, or AI/ML
• 10+ years of experience in manufacturing operations and systems/application engineering, including customer co-innovation, requirement definition, and deployment projects
• Proven expertise in designing scalable industrial solutions and system architectures, from pilot to mass rollout, with strong stakeholder alignment and usability focus
• Hands‑on experience with automation technologies including Industrial Edge, containerization (Docker, Kubernetes), Siemens platforms (WinCC, Insight Hub, Mendix, SCADA), and industrial protocols (MQTT, OPC UA, Modbus)
• Demonstrated ability to manage system lifecycle challenges including variant management, compatibility, and maintainability
• Excellent communication skills to lead technical discussions, justify architectural decisions, and serve as a central contact for architecture‑related topics
• Must currently reside in the continental USA. Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the U.S.

Preferred Qualifications:

• Master’s degree in a related field
• Hands‑on experience with cloud platforms (AWS, Azure, Google Cloud) for industrial infrastructure
• Experience deploying systems in resource‑constrained edge environments (e.g., Siemens IPCs, Raspberry Pi, Intel NUC)
• Proficiency in RUST, async programming, and memory management
• Experience with Enterprise Kubernetes platforms (Red Hat, Open Shift) or microservices…