AI Solution Architect (m/f/d)new

Responsibilities

• Design and implement scalable AI architectures in hybrid and cloud environments (Azure, AWS, GCP)
• Integrate production systems (SCADA, MES, DCS) and IIoT components using OPC UA, MQTT, and Modbus
• Develop secure, high-performance data pipelines from OT/edge environments to data lakes and cloud platforms
• Support real-time applications for monitoring, anomaly detection, early warning, and forecasting
• Define interfaces (REST/gRPC) and workflows for machine learning model deployment and orchestration (e.g., MLflow, Kubeflow)
• Collaborate with ML Engineers, Data Scientists, and DevOps teams to deliver full end-to-end AI solutions
• Use SQL for data modeling, transformation, and integration
• Contribute to data governance, lineage, and compliance (e.g., GDPR, ISO/IEC 27001)

Your Profile:

• Several years of experience designing data-driven system architectures, ideally in an industrial environment
• In-depth knowledge of industrial protocols and OT/IT integration (e.g., SCADA, OPC UA, edge devices)
• Expertise in edge computing, network security, and infrastructure design
• Proficiency in SQL and familiarity with BI tools such as Power BI
• Experience with MLOps pipelines and AI lifecycle platforms (e.g., MLflow, SageMaker, Vertex AI)
• Hands-on project experience in industrial or manufacturing settings
• Familiarity with IoT platforms, edge AI, or SCADA/MES systems
• Knowledge of modern data platforms (e.g., Snowflake, Delta Lake, BigQuery)
• Experience with orchestration tools such as Apache Airflow or dbt
• Practical experience deploying AI services in edge computing environments
• Strong communication skills with the ability to translate complex technical requirements into actionable plans

Application Process