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# Applied AI Architect - Semiconductor Engineering Solutions iv)

- **Company:** Infineon
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Logic, DevOps, Python (Programming Language), Knowledge-Based Systems, Machine Learning, DataOps, Software Engineering, SQL Databases, Data Streaming, Cloud Platform System, Large Language Models, Generative AI, Information Technology, GPT
- **Published:** September 24, 2026
- **Apply:** https://www.careerjet.de/jobad/de478e4f7228c45512dede64e7f00fc82c

## About the Role

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

## Description

Coding the future, one algorithm at a time -
ready for the challenge?
As a Applied AI Architect - Semiconductor Engineering Solutions in the Software & Data
Science team, get ready to program the
intelligence behind the chips, transform
complex data into actionable insights, and
create cutting-edge solutions that redefine
industries and solve tomorrow's challenges.
Are you in? Your role Key responsibilities in your new role Own the s olution
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 de livery 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 Payment Scale: ERA EG 12 Posting Date: 22.09.2026 Your profile Qualifications and skills to help you succeed 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


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