Applied AI Architect – Semiconductor Engineering Solutions (f/m/div)

Own the solution concept and technical evolution of scalable AI-enabled engineering solutions, including Generative AI, RAG, agentic workflows, knowledge systems, advanced analytics, and intelligent automation Serve as the primary technical advisor, translating customer and technical requirements into solution concepts, architecture decisions, interfaces, data flows, and implementation roadmaps Guide architecture decisions and support Solution Owners and development teams in integrating AI capabilities into the existing technology landscape Define how AI components interact with existing business logic, processes, tools, and human decision points Establish reusable architecture principles and integration patterns while leveraging existing platforms, services, and capabilities Stay up to date with developments in LLM capabilities, AI system architectures, and implementation patterns Drive solutions from roadmap to productive operation in collaboration with Solution Leads, Business Analysts, domain experts, developers, and delivery partners, including responsibility for DevOps and the technical delivery setup Ensure sustainable solution quality across scalability, maintainability, reliability, security, and responsible AI, while communicating technical decisions and trade-offs clearly Are you passionate about applying Agentic AI and advanced analytics to real-world business challenges in semiconductor engineering? We are looking for a Senior Applied AI Architect to act as a trusted technical advisor and help our AI-enabled solutions in semiconductor engineering to grow and scale. In this role, you will develop technical concepts, connect them to business needs, and implement scalable architectures across a diverse technology stack. You will work closely with Business Analysts to understand customer needs and with development teams to drive technical implementation. You will take end-to-end ownership of applied AI solutions, used by multiple R&D teams across semiconductor engineering. Degree in Electrical or Industrial Engineering, Physics, Math, Computer Science, Data Science, Software Engineering, or a related technical field, ideally combined with experience in product development, semiconductor engineering, or a comparable industrial environment 5+ years of professional experience in software, AI, data, analytics engineering, technical product ownership, or a related role, including at least 2 years in a hands-on technical position Demonstrated end-to-end ownership of at least one enterprise AI-enabled solution, such as RAG, Generative AI, or agentic workflow automation, from initial idea through MVP to productive use Hands-on experience with Python and SQL, plus practical knowledge of common LLM frameworks and tools, machine learning, or data science Solid understanding to design scalable cloud-based architectures Experience in guiding AI solutions through the full lifecycle from concept to implementation and operation General familiarity with modern DevOps or DataOps practices Experience coordinating business stakeholders, engineering teams, and technical delivery partners in a cross-functional environment Strong interest in applying AI safely and responsibly to create measurable value for users and the business Fluent English; German is a plus. We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don't meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon.