Required skills
- IT Architecture
- AI Architecture
- GenAI Architecture
- Platform Architecture
- Shared Services
- AI Gateway
- Model Hub
- Agent Runtime
- Vector Stores
- Knowledge Management
- Azure
- AWS
- Kubernetes
- API Management
- OpenTelemetry
- Langfuse
- LLMs
- RAG
- Agentic Systems
- Security by Design
- IAM
- Data Classification
- Zero Trust
- TOGAF
- ArchiMate
- NIST AI RMF
- ISO/IEC 42001
- OWASP Top 10 for LLM
Languages: German
Job description
Seeking 2-4 Platform Architects for an AI platform and shared services development project in the Swiss transport and infrastructure sector. The role involves concretizing architecture, defining services, and ensuring implementation support.
Project overview
Start Date: February 2027
Industry: Transport & Infrastructure
Responsibilities
- Concretize architecture in prioritized workstreams and support implementation activities.
- Develop architectural concepts, principles, target images, and decision bases.
- Translate architecture into organizational and technical requirements for platforms and shared services.
- Specify and evaluate shared services, including functional and non-functional requirements; define operations, responsibilities, and governance.
- Co-create architecture roadmap and ensure alignment with enterprise architecture.
- Document architecture and communicate it appropriately to the target audience.
Requirements
Advantageous (Relevant for Evaluation):
IMPORTANT:
Languages
Languages Spoken Written Priority
English Good Good a Must
German Fluent Fluent a Must
Description Priority
Software Architect a Must
Kind regards / Best Regards
André van Sprundel
CEO
GHR Global Human Resources AG
Blegistrasse 13
CH-6340 Baar / ZG
Direct Line: *
Email: *@*.ch
Web: www.ghrgroup.ch
- Professional Experience -> min. 8 years IT architecture, including proven experience with AI or GenAI architectures in large organizations.
- References (Client Requirement) -> min. TWO references in conception or implementation of AI platforms or shared services.
- Cloud & Containers -> in-depth knowledge of Azure, AWS, and/or Kubernetes, as well as API management.
- Observability for AI -> Tracing, Evaluation, Quality Monitoring, Cost Tracking, and Audit Trail, e.g., with OpenTelemetry or Langfuse.
- Specification & Evaluation -> Specify services and evaluate products in a structured manner.
- AI Technology Understanding -> LLMs, RAG, agentic systems, MCP or A2A, as well as risks like Prompt Injection, Data Leakage, and Hallucinations.
- Security-by-Design -> IAM also for non-human identities and agents, data classification, Zero Trust.
- Integration -> Integration into existing architecture and platform teams; collaboration with Security and Data Protection.
- Staged Onboarding -> phased start from February 2027, depending on prioritized workstreams.
- Communication & Languages -> present complex architecture appropriately to the target audience; fluent German and good English.
- MLOps and LLMOps, as well as testing and release of models and agents (Evals, Red Teaming, Guardrails).
- Self-service and platform engineering approaches like Developer Portal and Golden Paths.
- Citizen Development and Low-Code (Power Platform).
- Large, regulated organization; TOGAF, ArchiMate, NIST AI RMF, ISO/IEC 42001, or OWASP Top 10 for LLM.
- Remote Policy -> On-site at the client's 40-60% (Tuesdays and Wednesdays) / Home Office 40-60%, depending on project phase; remote work only allowed within Switzerland.
- Criminal Record Checks -> Criminal record extracts are required (German residents: SCHUFA report and police clearance certificate).
Project details
11 months with option
Possible Contract Types: Consultant / Rental
100%
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Number of Positions: 4
Deadline: 11/09/2026, 22:00
Bern
Creation Date: 11/05/2026
Description
For our end client from the Swiss transport and infrastructure sector, we are looking for TWO to FOUR Platform Architects for the development of AI platforms and shared services as follows:
Starting Situation & Mandate:
The end client is developing an overarching AI architecture across four capability areas: AI Control, AI Platform, AI Transparency, and AI Governance. The project is supported by a Managed Capacity Team: In Phase 1, an Enterprise Platform Architect will define the scope, target image, and workstreams; from February 2027, two to four Platform Architects will be onboarded in stages.
Important for selection: Platform building experience is sought, not just conceptual work – at least two references for AI platforms or shared services such as AI Gateway, Model Hub, Agent Runtime, Vector Stores, or Knowledge Management.
- Start: 2027-02
- Duration: 11 Monate
- Remote: hybrid
- Location: Bern, Schweiz, CH
- Languages: German
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