{"id":3842218,"url":"https://alion.io/job/iq-plus-enterprise-platform-architect","title":"(Enterprise) Platform Architect","company":{"id":678781,"name":"IQ PLUS","domain":"iqplus.ch","url":"https://alion.io/company/iqplus","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bern, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"RAG","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-11-05T17:06:07Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T19:05:08Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Wir suchen für einen unserer Kunden (Enterprise) Platform Architekten für ein ganzes Managed Capacity Team. Das Ziel ist es eine übergreifende Architektur (weiter-)zu entwickeln. Dabei ist zu klären, welche Themen / Fähigkeiten übergreifend, welche spezifisch für gewisse AI-Einsatzgebiete sind und welche lokal (je Projekt / Anwendung) gelöst werden.\nStarke Faktoren für die Gestaltung der Architektur sind\nSicherheit (Bedrohungen von aussen, von innen): Identität und Berechtigungen, Datenschutz und Datenklassifizierung.\nRegulatorik und Compliance, Nachvollziehbarkeit und Audit\nEnabling (AI Technologien einfach nutzbar machen, Self-Service, automatisierte Compliance)\nKosten und Wirtschaftlichkeit\nQualität und Verlässlichkeit, Betrieb und Resilienz\nPassung in die bestehende IT-Landschaft, Migrationsfähigkeit\nIntegration und Interoperabilität\nDas Team arbeitet eng mit den verantwortlichen Stellen und Fachpersonen des Endkunden zusammen.\nGesucht werden Personen mit ausgewiesener Erfahrung in der Konzeption und Weiterentwicklung komplexer Enterprise- und Plattformarchitekturen. Erwartet wird insbesondere die Fähigkeit, strategische Zielbilder in konkrete Architekturentscheidungen, Standards, Plattformfähigkeiten und umsetzbare Roadmaps zu überführen.\nAusgewiesene Erfahrung mit AI-/GenAI-Architekturen in grossen Organisationen.\nFundiertes Verständnis von LLMs, RAG, agentischen Systemen und Protokollen wie MCP oder A2A sowie ihren Risiken (Prompt Injection, Datenabfluss, Halluzinationen)\nErfahrung mit Security-by-Design: Identity & Access Management (auch für nicht-menschliche Identitäten und Agenten), Datenklassifizierung, Zero Trust\nFähigkeit, komplexe Architektur für unterschiedliche Zielgruppen verständlich darzustellen, vom Management bis zum Entwicklungsteam\nDeutsch verhandlungssicher, Englisch gut\nMindestens 2 Referenzen in der Konzeption oder Umsetzung von AI-Plattformen oder Shared Services, z.B. AI Gateway, Model Hub, Agent Runtime, Vector Stores, Knowledge Management\nVertiefte Kenntnisse in Cloud und Container (Azure, AWS und/oder Kubernetes) sowie in API-Management\nErfahrung mit Observability für AI: Tracing, Evaluation und Quality Monitoring, Kostenerfassung, Audit Trail (z.B. OpenTelemetry, Langfuse oder Ähnliches)\nErfahrung in der Spezifikation von Services und in der Evaluation von Produkten anhand strukturierter Kriterien\nErfahrung in einer grossen, regulierten Organisation (öffentlicher Verkehr, Energie, Finanz, Verwaltung)\nKenntnis von Frameworks und Standards wie TOGAF, ArchiMate, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM\nErfahrung mit MLOps/LLMOps sowie Testing und Freigabe von Modellen und Agenten (Evals, Red Teaming,Guardrails)\nErfahrung mit Self-Service- und Platform-Engineering-Ansätzen (Developer Portal, Golden Paths)\nErfahrung mit Citizen Development und Low-Code-Plattformen (z.B. 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