OverviewJob Title: Solution Architect - AI/ML, Semiconductor PLM, and Full Stack TechnologiesLocation: [Cologne, Germany]Employment Type: 12+ / ContractExperience: 10+ years (with 3+ years in Solution Architecture)Position Overview: We are seeking a highly skilled Solution Architect with expertise in AI/ML tools, Semiconductor Product Lifecycle Management (PLM), and modern enterprise technologies. The ideal candidate will design and implement scalable, data-driven, and intelligent solutions that integrate AI capabilities into PLM, enterprise systems, and web applications. Key Responsibilities Design end-to-end solutions leveraging AI/ML, Data Science, NLP, or Generative AI to optimize business processes and product lifecycle workflows. Collaborate with cross-functional teams (AI Engineers, Data Scientists, PLM Engineers, and Developers) to translate business needs into scalable architectures. Architect and develop robust backend services using J2EE/Spring Boot, integrated with Elasticsearch for intelligent search and analytics. Work closely with semiconductor PLM systems (e.g., Teamcenter, Agile PLM, ENOVIA, or equivalent) to integrate AI-driven insights into product lifecycle stages. Design and guide development of modern front-end applications using Angular or React for seamless user experiences. Ensure AI models are productionized effectively, including model deployment, monitoring, and integration into enterprise environments. Define architecture standards, best practices, and governance frameworks for AI, data, and application layers. Partner with stakeholders to identify opportunities for applying Generative AI and Data Science techniques in engineering and product management. Required Skills & Experience Core Architecture: Enterprise/Solution architecture experience across AI/ML and application systems. AI/ML & Data Science: Hands-on knowledge of Python, TensorFlow/PyTorch, NLP frameworks, GenAI APIs (e.g., OpenAI, Azure OpenAI). Semiconductor PLM Systems: Exposure to PLM tools like Teamcenter, Agile PLM, ENOVIA, or similar. Backend Development: Strong in Java, J2EE, Spring Boot, REST APIs, Microservices. Search & Indexing: Experience in Elasticsearch or Solr for enterprise search and analytics solutions. Frontend: Proficient in Angular or React, with good understanding of UX/UI principles. Cloud & DevOps: Familiar with AWS / Azure / GCP, CI/CD pipelines, and containerization (Docker/Kubernetes). Data Integration: Experience in ETL, Data Pipelines, or Data Lake Architectures is a plus. Soft Skills: Strong problem-solving, communication, and cross-functional collaboration abilities. Preferred Qualifications Master's or bachelor’s in computer science, Data Science, or Electronics Engineering. Experience in Semiconductor Domain, particularly integrating AI with PLM systems. Prior experience working with Generative AI solutions (ChatGPT, Copilot, or similar). Knowledge of enterprise integration frameworks and security best practices. Keywords AI Architect, Solution Architect, Semiconductor PLM, Data Science, NLP, Generative AI, J2EE, Spring Boot, Angular, Elasticsearch, Teamcenter, Agile PLM, Cloud AI, Machine Learning Architect #J-18808-Ljbffr