Azure IoT Solution Architect

The role requires hands-on expertise in Azure IoT architecture, connected devices, edge/cloud integration, and Industrial IoT environments.

• Collaborate with Business Units, Operations, Engineering, IT, Cybersecurity, Data, AI, and Product teams to translate operational requirements into secure, scalable, and supportable solutions
• Design architecture that enables the safe progression from advisory and decision-support capabilities to assisted, supervised, and increasingly autonomous operations
• Apply sound architecture principles across cloud technologies, edge computing, OT/IT integration, industrial connectivity, data platforms, AI/ML, industrial cybersecurity, and cloud technologies.

• Lead technical evaluations, architecture trade-off analyses, and proof-of-concept designs for operational technology solutions

• Provide software engineering and development support as required, including solution prototyping, integration, technical validation, and implementation support

• Establish clear human oversight, decision rights, operating guardrails, fallback states, cybersecurity controls, and support models for autonomous solutions.

• Stay current with industrial operational technologies like IIoT ,Edge computing, AI agents, robotics, digital twin, edge computing, autonomous systems, and human-machine collaboration technologies.

• Bachelor’s degree in computer science, Information technology, Engineering or related field
• Minimum 10 + years of IT experience including architecture and solution design roles
• Strong experience in enterprise architecture, solution architecture and systems integration
• Experience designing cloud solutions in preferably Azure cloud
• Strong understanding of microservices, APIs event driven architecture and integration frameworks
• Experience with DevOps, CI/CD pipelines infrastructure automation and Agile Methodologies
• Excellent communication, stakeholder management and leadership skills

Preferred Qualification:

• Azure architect, TOGAF or equivalent certifications
• Experience in handling large scale digital transformation programs
• Knowledge of AI, automation, analytics and modern engineering practices
• Competent in strategic thinking, architectural governance, solution design, technical leadership, problem solving capabilities and good stakeholder and risk management