Required skills
- AI Architecture
- GenAI Architecture
- LLM
- RAG
- Agent Systems
- Security by Design
- Identity and Access Management
- Data Classification
- Zero Trust
- Cloud Architecture
- Containerization
- Kubernetes
- API Management
- Observability
- MLOps
- LLMOps
- Platform Engineering
- TOGAF
- ArchiMate
- NIST AI RMF
- OWASP Top 10 for LLM
Languages: German
Job description
We are looking for an (Enterprise) Platform Architect to develop and evolve a cross-functional architecture for a Managed Capacity Team. The role involves defining overarching architectural principles and capabilities, focusing on security, compliance, enablement, cost, quality, and integration.
Project overview
Task
We are looking for an (Enterprise) Platform Architect for one of our clients as part of a Managed Capacity Team. The goal is to (further) develop an overarching architecture. It needs to be clarified which topics/capabilities are cross-functional, which are specific to certain AI application areas, and which are solved locally (per project/application).
Strong factors for shaping the architecture are
The team works closely with the responsible parties and subject matter experts of the end customer.
We are looking for individuals with proven experience in the conception and further development of complex enterprise and platform architectures. In particular, the ability to translate strategic target visions into concrete architectural decisions, standards, platform capabilities, and implementable roadmaps is expected.
- Security (external and internal threats): Identity and permissions, data protection and data classification.
- Regulation and compliance, traceability and audit
- Enabling (making AI technologies easily usable, self-service, automated compliance)
- Cost and economic efficiency
- Quality and reliability, operation and resilience
- Fit within the existing IT landscape, migration capability
- Integration and interoperability
Requirements
Project duration
31.12.2027, with option for extension
- Proven experience with AI/GenAI architectures in large organizations.
- In-depth understanding of LLMs, RAG, agent-based systems, and protocols like MCP or A2A, as well as their risks (Prompt Injection, data leakage, hallucinations).
- Experience with Security-by-Design: Identity & Access Management (including for non-human identities and agents), data classification, Zero Trust.
- Ability to present complex architectures understandably to different target groups, from management to the development team.
- German fluent in negotiation, English good.
- 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.
- In-depth knowledge of Cloud and Containers (Azure, AWS, and/or Kubernetes) as well as API Management.
- Experience with Observability for AI: Tracing, evaluation and quality monitoring, cost tracking, audit trail (e.g., OpenTelemetry, Langfuse, or similar).
- Experience in specifying services and evaluating products based on structured criteria.
- Experience in a large, regulated organization (public transport, energy, finance, administration).
- Knowledge of frameworks and standards such as TOGAF, ArchiMate, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM.
- Experience with MLOps/LLMOps as well as testing and release of models and agents (Evals, Red Teaming, Guardrails).
- Experience with Self-Service and Platform Engineering approaches (Developer Portal, Golden Paths).
- Experience with Citizen Development and Low-Code platforms (e.g., Power Platform).
Project details
- Start: 01.02.2027
- Duration: 31.12.2027, mit Option auf Verlängerung
- Location: Bern-Wankdorf und Work Smart, 40% vor Ort, CH
- Languages: German
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