Solution Architect – AI / ML

Zealogics.com; Köln; Vor Ort; EUR 75.000 - 95.000; Vollzeit

Zusammenfassung

A leading technology solutions provider is seeking a highly skilled Solution Architect with expertise in AI/ML tools and Semiconductor Product Lifecycle Management (PLM). The role involves designing scalable, data-driven solutions and collaborating with cross-functional teams to integrate AI into PLM systems. Ideal candidates have strong backend development skills in Java and experience with modern frameworks like J2EE and Spring Boot. This opportunity is based in Cologne, Germany.

Qualifikationen

• Experience in semiconductor PLM systems like Teamcenter, Agile PLM, or ENOVIA.
• Strong problem-solving and communication skills.
• Ability to collaborate cross-functionally.

Aufgaben

• Design end-to-end solutions leveraging AI/ML and Data Science.
• Collaborate with cross-functional teams to translate business requirements.
• Architect and develop backend services with J2EE and Elasticsearch.

Kenntnisse

Enterprise/Solution architecture

AI/ML and Data Science

Python

TensorFlow/PyTorch

Java

J2EE

Spring Boot

Angular

React

Ausbildung

Master’s or bachelor’s in computer science, Data Science, or Electronics Engineering

Tools

J2EE/Spring Boot

Elasticsearch

Docker

Kubernetes

AWS

Azure

GCP

Jobbeschreibung

Job Information

Job Title: Solution Architect – AI/ML, Semiconductor PLM, and Full Stack Technologies
Location: Cologne, Germany
Employment Type: 12+ / Contract
Experience: 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 (for job boards)

AI Architect, Solution Architect, Semiconductor PLM, Data Science, NLP, Generative AI, J2EE, Spring Boot, Angular, Elasticsearch, Teamcenter, Agile PLM, Cloud AI, Machine Learning Architect.