Applied AI Architect – Semiconductor Engineering Solutions (f/m/div)
Core
Design and implement scalable AI-enabled engineering solutions for semiconductor R&D, including Generative AI, RAG, and agentic workflows.
Role type
Senior Applied AI Architect (IC)
Builds
AI solutions for semiconductor engineering R&D teams
Domain
Semiconductor engineering / Industrial AI
Deliverable
production ML models
Required skills
Python, SQL, LLM frameworks, Generative AI, RAG, agentic workflows, scalable cloud architecture, DevOps/DataOps, cross-functional coordination
Preferred skills
German language, Electrical/Industrial Engineering/Physics/Math/CS background
Technologies
LLM frameworks, Generative AI tools, RAG systems, agentic workflow platforms
Responsibilities
Own solution concept and technical evolution of scalable AI solutions; translate requirements into architecture decisions and roadmaps; guide integration of AI capabilities into existing tech landscape; define interaction between AI components and business logic; establish reusable architecture principles; drive solutions from roadmap to productive operation; ensure sustainable solution quality across scalability, maintainability, reliability, and security.
