Informatiker/in (Weiterbildung)
Core
Define enterprise architecture and technology strategy for Agentic AI, AIOps, autonomous operations, and intelligent automation.
Role type
Principal Enterprise Architect (AI & Automation)
Builds
Reference architectures for AI-powered incident response, service management, platform operations, FinOps, cybersecurity, and disaster recovery.
Domain
Enterprise Architecture, AI/ML, Cloud-Native, Platform Engineering
Deliverable
production ML models
Required skills
Enterprise Architecture, Cloud Architecture (Azure/AWS), Distributed Systems, API Design, Automation, Observability, Large-scale IT Operations, Technology Transformation Leadership, Governance & Risk Management, Systems Thinking
Preferred skills
AI/ML Platform Design, Agent Frameworks (Semantic Kernel, LangGraph, AutoGen), SRE, AIOps, Internal Developer Platforms, AI Governance, Industry Certifications
Technologies
Azure, AWS, ServiceNow, CMDB, Security Tooling, Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen
Responsibilities
Define architectural standards and governance frameworks for AI agents; Design integration architecture connecting agents to enterprise systems; Partner with executives to align agentic capabilities with business priorities; Evaluate emerging technologies in AI and automation; Drive architecture reviews and technical governance; Mentor engineers and architects.
Seniority
Principal, Strategy & Mentorship
