You will design scalable, multi-tenant, and production-ready (Gen)AI architectures as part of an enterprise-wide AI platform
Job Summary
You will design scalable, multi-tenant, and production-ready (Gen)AI architectures as part of an enterprise-wide AI platform.
You will define integration principles and establish MCP-strategy based integration patterns for structured tool and context connections.
You will be responsible for model and hosting strategies, making architectural decisions on model selection, operating mode, and cost architecture from a platform perspective.
Matching Summary
You will design scalable, multi-tenant, and production-ready (Gen)AI architectures as part of an enterprise-wide AI platform.
Skills & Requirements
Must-have
Enterprise-LLM Architectures
Scalable, multi-tenant AI architectures
Integrations for Fachsysteme, Datenplattformen
Model-Context-Protocol integration patterns
Cloud platforms, Kubernetes, API Gateways
Service-oriented architectures
Nice-to-have
Platform-oriented thinking
Standardizing and vendor-independent approach
Convincing communication skills
Key Requirements
5+ years architecture responsibility in AI/Cloud projects