Design and improve reusable solution architectures for AI, data, and API applications built primarily on Azure and Databricks. Define integrations across cloud services, Databricks, internal platforms, and third-party systems. Support AI modernization, security assessments, architecture documentation, and implementation guidance while coordinating with delivery, platform, security, and business stakeholders.
This is a remote position.
Period: August–December 2026, with possible extension
Capacity: 0.5 FTE
Remote, with laptop collection in Prague
EU citizenship required
About the role
The role is focused on designing and improving AI and data application use cases built mainly on Azure and Databricks. The architect will work with delivery teams, platform teams, security, and business stakeholders to translate use case requirements into practical reusable solution designs.
Responsibilities
- Design solution architecture for AI, data, and API-based applications.
- Review existing use case architectures and propose more reusable, efficient, and maintainable designs where needed.
- Support AI modernization by helping teams adopt shared patterns, platform capabilities, and reusable components.
- Define integration patterns between applications, Databricks, Azure services, internal platforms, and third-party solutions.
- Prepare architecture documentation, security assessment inputs, and design materials for implementation teams.
- Coordinate architecture topics across delivery teams, platform teams, security, and other stakeholders.
Technology context
- Databricks platform capabilities including Apps, Lakebase, Genie, and related AI/data services.
- Azure platform services, including API Management, identity and access control, databases, messaging and Kubernetes-based application hosting.
- AI/data use cases such as document processing, OCR, classification, information extraction, LLMOps, API integrations, and workflow automation.
Profile
- Good understanding of enterprise application design.
- Experience with Azure-based enterprise solutions.
- Experience with Databricks in data, AI, analytics, and application use cases.
- Understanding of APIs, system integration, identity, access management, and secure application design.
- Ability to work with both technical and non-technical stakeholders.
- Ability to document architecture decisions clearly and guide implementation teams.
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