Industrial IoT Solution Architect: Edge, Cloud & AI

KORUHR; Singapore; On-site; SGD 170,000 - 230,000; Full time

Job summary

KORUHR is hiring a Senior Solution Architect in Singapore to define, design, and govern end-to-end digital solutions spanning OT/IT, edge, cloud, and AI-enabled analytics. You will translate complex business needs into scalable architectures and lead multi-disciplinary teams across time zones.

Role requires strong cloud, microservices, security, and industrial networking expertise, with hands-on experience in AI/ML deployments and data pipelines.

Qualifications

• Degree in Computer Science, Electrical Engineering, Mechatronics or related field.
• Professional certifications in architecture, cloud, cybersecurity or Agile are a plus.
• Minimum 8 years in software or systems architecture with IIoT focus.

Responsibilities

• Define scalable, secure architectures spanning OT/IT ecosystems.
• Design end-to-end digital solutions for industrial systems and data analytics.
• Lead architecture reviews and governance across global teams.
• Mentor engineers and align solutions with security and regulatory standards.
• Collaborate with stakeholders to translate requirements into technical blueprints and user stories.

Skills

Solution architecture

Industrial IoT

Cloud platforms

DevOps / CI/CD

Docker / Kubernetes

Security / Zero Trust

Time-series data

AI/ML architectures

Stakeholder management

Industrial networking

Education

Bachelor's degree in Computer Science / Electrical Engineering / Mechatronics

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

SAP

Azure DevOps

Job description

KORUHR is hiring a Senior Solution Architect in Singapore to define, design, and govern end-to-end digital solutions spanning OT/IT, edge, cloud, and AI-enabled analytics. You will translate complex business needs into scalable architectures and lead multi-disciplinary teams across time zones.

Role requires strong cloud, microservices, security, and industrial networking expertise, with hands-on experience in AI/ML deployments and data pipelines.