• Help shape the target architecture of ZYLENTIX as an enterprise-grade AI platform.
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• Design reusable API, integration, deployment and customer-edge patterns.
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• Define practical standards for production readiness, scalability, maintainability and technical documentation.
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• Contribute to release, deployment, monitoring, observability and runbook standards.
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• Embed security by design, IAM, auditability, secrets handling and data-flow control into architecture decisions.
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• Translate customer requirements into reusable product and architecture building blocks.
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• Support technical customer workshops with IT, Security, Product Security, Architecture and Engineering teams.
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Requirements

You combine solid enterprise architecture experience with enough technical depth to make architecture practical, implementable and scalable. You do not need to be a pure software engineer, but you should be able to understand complex systems, structure technical decisions and work closely with engineering teams.

What we are looking for:

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• Experience as a Solution Architect, Enterprise Architect, Platform Architect, Technical Lead, Technical Consultant or similar role.
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• Good understanding of enterprise software architectures, cloud or private-cloud environments, APIs, containers and modern deployment processes.
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• Familiarity with CI/CD, release management, monitoring, observability, runbooks or operational documentation.
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• Good understanding of security, compliance, IAM, audit logs, encryption, secrets management or secure enterprise integrations.
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• Ability to define reusable architecture patterns instead of building one-off customer solutions.
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• Interest in AI-native systems, LLM architectures, agentic workflows, RAG, AI evaluation or MLOps.
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• Ability to structure complex technical topics, document decisions clearly and align technical stakeholders.
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