IQ Plus AG
2 days ago
(Enterprise) Platform Architect (76081)
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Company information
- Company
- IQ Plus AG
- Location
- Bern Germany
- Posted
- 2 days ago
Job description
We are looking for an (Enterprise) Platform Architect for a whole Managed Capacity Team for one of our clients. 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 to be solved locally (per project/application).
Strong factors for shaping the architecture are:
• Security (threats from outside, from inside): Identity and authorizations, data protection and data classification.
• Regulation and Compliance, Traceability and Audit
• Enabling (making AI technologies easily usable, self-service, automated compliance)
• Costs and Economic Efficiency
• Quality and Reliability, Operations and Resilience
• Fit into the existing IT landscape, Migration capability
• Integration and Interoperability
The team works closely with the responsible departments and specialists 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 states into concrete architectural decisions, standards, platform capabilities, and implementable roadmaps is expected.
- Proven experience with AI/GenAI architectures in large organizations.
- In-depth understanding of LLMs, RAG, agentic systems, and protocols such as 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 comprehensibly to different target groups, from management to the development team
- Fluent German (negotiation level), good English
- 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)
Required skills
- audit
- compliance
- security
- cost management
- aws
- kubernetes
- cloud
- evaluation
- azure
- containers
- power platform
- migration
- observability
- mcp
- integration
- api management
- data protection
- rag
- self-service
- identity and access management
- low-code platforms
- llms
- regulation
- mlops
- zero trust
- knowledge management
- data classification
- platform engineering
- togaf
- ai platforms
- cost tracking
- ai architecture
- evals
- opentelemetry
- shared services
- archimate
- citizen development
- llmops
- red teaming
- interopérability
- tracing
- quality monitoring
- guardrails
- langfuse
- regulated organization
- agent testing
- architecture development
- a2a
- security-by-design
- developer portal
- agentic systems
- product evaluation
- model testing
- hallucinations
- enabling
- data leakage
- ai gateway
- prompt injection
- vector stores
- iso/iec 42001
- golden paths
- nist ai rmf
- audit trail
- agent runtime
- owasp top 10 for llm
- it landscape integration
- service specification
- enterprise platform architect
- managed capacity team
- genai architecture
- model hub
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