Required skills
- IT Architecture
- AI Architecture
- GenAI Architecture
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Agentic AI Systems
- Cloud Computing
- Containerization
- Kubernetes
- Microsoft Azure
- Amazon Web Services (AWS)
- API Management
- Security by Design
- Identity and Access Management (IAM)
- Zero Trust Security
- AI Observability
- OpenTelemetry
- Langfuse
Languages: German · English
Job description
Seeking a Senior AI Platform Architect to shape the overarching AI architecture, develop architectural concepts, and define governance for shared AI services. The role requires extensive experience in AI/GenAI architectures, cloud technologies, and security.
Project overview
Shaping the overarching AI architecture: Developing a pragmatic, staged, and implementation-oriented architectural vision including the target state, from IT workplace and citizen development to in-house developed and purchased business applications. Developing and further developing architectural concepts, architectural principles, and decision-making bases. Clarifying which AI capabilities are solved across the board, which are domain-specific, and which remain local (per project or application).
Documenting and communicating the architecture in an audience-appropriate manner – from management to architecture, platform, and development teams. Translating the overarching architecture into concrete organizational and technical requirements for platforms and shared services. Specifying shared services, including functional and non-functional requirements, and supporting their evaluation. Defining governance: responsibilities, processes, and framework conditions for the operation and use of shared services. Participating in the creation and prioritization of an actionable architecture roadmap.
Ensuring alignment between enterprise architecture, platform architectures, and concrete implementations. Close exchange with the responsible architecture, platform, security, and data protection teams at the customer's site.
Requirements
At least 8 years of experience in IT architecture, including proven experience with AI/GenAI architectures in large organizations. At least 2 references in the conception or implementation of AI platforms or shared services, e.g., AI Gateway, Model Hub, Agent Runtime, Vector Stores, Knowledge Management. Sound understanding of LLMs, RAG, and agentic systems as well as associated protocols (e.g., MCP, A2A) and their risks such as prompt injection, data leakage, or hallucinations. In-depth cloud and container knowledge: Azure, AWS, and/or Kubernetes, as well as solid API management knowledge.
Experience with Security by Design: Identity & Access Management (including for non-human identities and agents), data classification, Zero Trust. Practical experience with AI Observability: Tracing, evaluation, quality monitoring, cost tracking, audit trail (e.g., OpenTelemetry, Langfuse, or comparable tools). Experience in specifying services and in the structured evaluation of products based on defined criteria. The ability to translate complex architectures understandably for any target audience, from C-level to the development team. Fluent German, good English.
Project details
2 days per week on-site in Bern, rest remote within Switzerland. Start date: February 2027.
10 months with option.
- Start: flexible
- Remote: hybrid
- Location: DE
- Languages: German, English
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