Software Architect with Enterprise Architect Skills (all genders)
On-siteMunich, Bavaria, Germany or Munich, North Dakota, United States
Job Summary
Design secure, scalable generative AI systems by translating business goals into Enterprise and Solution Architectures and deriving target architectures from reference patterns. Lead design reviews, architecture decision records, and guardrails while owning cross-cutting concerns including identity, data, observability, and cost. Partner with backend, DevOps, and AI engineering teams to ensure agentic and LLM components form a coherent platform, managing MCP server topology and API integration resilience. Support internal transformation and client projects by guiding consulting teams in building future-proof target architectures for AI agent applications.
Required Qualifications
- Degree in Computer Science, Engineering, or equivalent experience
- 6+ years of experience in architecting cloud software, with a proven track record of delivering production systems
- Expertise in Enterprise Architecture and Solution Architecture, with clear artifacts and governance practices
- Ability to derive a Target Architecture from reference designs and constraints
- Strong understanding of non-functional requirements and guardrail implementation: security, observability, performance, reliability and cost
- Proficiency in cloud and hybrid architectures (Azure, AWS, GCP): networking, IAM, data, secrets, policies, and private endpoints
- Experience with MCP architecture and integration: designing MCP server topology, capability schemas, tool gating/permissions, auditing and tracability
- Familiarity with patterns for agentic/LLM systems such as tool-calling, orchestration, evaluation loops and finetuning pathways
- Expertise in API and integration architecture (REST, GraphQL, events), data contracts, versioning, and resilience
- Excellent communication skills in English
- Good development expertise with at least one programming language
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