Enterprise AI Solutions Architect

SGI; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

SGI is seeking an Enterprise AI Solutions Engineer in Zurich to partner with stakeholders, design architectures, and implement enterprise technology solutions. You will integrate diverse systems, APIs, and data sources to support end-to-end business processes.

The role requires hands-on experience with cloud platforms (Azure/AWS/GCP), data engineering, and modern AI technologies, plus strong DevOps and CI/CD discipline.

Qualifikationen

• Experience delivering enterprise software, cloud, data, or automation solutions.
• Strong understanding of systems integration, APIs, databases, and enterprise architecture concepts.
• Proficiency in programming languages such as Python, JavaScript, Java, or C#.
• Experience with cloud platforms including Azure, AWS, or Google Cloud Platform.

Aufgaben

• Partner with business and technical stakeholders to gather requirements and define solution architectures
• Design, configure, and implement enterprise technology solutions aligned to customer objectives
• Integrate applications, data sources, APIs, and third-party systems to support end-to-end business processes
• Lead technical workshops, discovery sessions, and solution design activities
• Support deployment, testing, performance optimization, and issue resolution activities
• Collaborate with product, engineering, and delivery teams to ensure successful project execution
• Provide technical guidance, documentation, and best-practice recommendations
• Identify opportunities for process improvement, automation, and enhanced platform utilization

Kenntnisse

Enterprise software

Systems integration

APIs

Cloud platforms

Data engineering

AI technologies

DevOps practices

CI/CD pipelines

Problem solving

Communication

Tools

CI/CD Tools

Databases

Jobbeschreibung

SGI is seeking an Enterprise AI Solutions Engineer in Zurich to partner with stakeholders, design architectures, and implement enterprise technology solutions. You will integrate diverse systems, APIs, and data sources to support end-to-end business processes.

The role requires hands-on experience with cloud platforms (Azure/AWS/GCP), data engineering, and modern AI technologies, plus strong DevOps and CI/CD discipline.