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

Infineon Technologies AG; Neubiberg; On-site; EUR 120,000 - 180,000; Full time

Job summary

Infineon Technologies is seeking a Senior Applied AI Architect to lead the architectural evolution of AI-enabled semiconductor engineering solutions. You will translate customer needs into scalable architectures, guide teams, and ensure integration with existing systems across the R&D landscape.

The role emphasizes end-to-end ownership, hands-on capabilities with Python/SQL, and a strong focus on responsible AI, data governance, and secure, scalable cloud-based designs.

Qualifications

• 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 or semiconductor engineering.
• 5+ years of professional experience in software, AI, data, analytics engineering, technical product ownership, or 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.
• Hands-on experience with Python and SQL, plus knowledge of common LLM frameworks and tools, machine learning or data science.
• Solid understanding to design scalable cloud-based architectures.
• Experience 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

Responsibilities

• 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
• Ensure sustainable solution quality across scalability, maintainability, reliability, security, and responsible AI, while communicating technical decisions and trade-offs clearly

Skills

Python

SQL

LLM frameworks

Machine learning

Data science

Cloud architecture

DevOps

DataOps

Stakeholder coordination

Responsible AI

Education

Electrical/Industrial Engineering or related field

Experience in product development/semiconductor engineering

Job description

#WeAreIn for jobs that impact everyone's life.

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 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
• Ensure sustainable solution quality across scalability, maintainability, reliability, security, and responsible AI, while communicating technical decisions and trade-offs clearly

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 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

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

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.