Stellenbeschreibung:

Alibaba Cloud is seeking an experienced Senior Architect with expertise in cloud computing, AI/ML, and automotive/industrial solutions to lead cutting-edge projects for enterprise customers across Europe, especially focus on the German speaking region.

Based in Germany, you will design scalable, compliant cloud architectures while driving Alibaba Cloud’s AI and industry-specific solutions in key sectors like autonomous driving, Industrial 4.0, fin-tech, and more.

As a technical leader, you will bridge global innovation with the market needs, ensuring solutions align with EU regulations (e.g., GDPR, 5GGA) and industry standards.



Responsibilities:
- Technical Leadership
• Design large-scale, compliant cloud infrastructures (e.g., hybrid/multi-cloud, edge computing) for AI workloads (LLMs, computer vision, MLOps).
• Solve complex challenges in distributed systems, real-time data processing, and low-latency inference for mission-critical applications.
• Architect AI/ML-powered cloud solutions for industrial and automotive clients (e.g., predictive maintenance, digital twins, autonomous driving data platforms).


- Industry-Specific Solutions
• Automotive/Autonomous Driving: Design V2X communication platforms, autonomous driving data lakes (sensor fusion, simulation/testing), and compliance frameworks.
• Industrial 4.0: Develop cloud-native architectures for smart factories (OPC UA, MQTT, ROS/ROS2 integration) and IIoT (time-series databases, edge AI).


- Customer & Ecosystem Engagement
• Lead technical pre-sales (POCs, RFPs) for European enterprises, translating business needs into scalable architectures.
• Collaborate with partners (OEMs, ISVs, universities) to expand Alibaba Cloud’s AI/cloud ecosystem in Europe.


- Global Alignment
• Coordinate with China/EMEA teams to adapt global product roadmaps for European regulations (e.g., data sovereignty).


Qualifications:
Mandatory:
• 10+ years in cloud architecture (Alibaba Cloud/AWS/Azure) and AI/ML (TensorFlow/PyTorch, LLMs, MLOps).
• 3+ years as a lead architect for multinational clients (Europe experience preferred).
• Expertise in two or more:
  • AI/ML: Model training/inference optimization, AutoML, generative AI.
  • Cloud: Kubernetes, serverless, HPC, hybrid-cloud networking.
  • Data: Big data pipelines (Spark/Flink), data governance.
• Fluency in English and German (business/technical); Chinese is a plus.


Preferred:
• Automotive/Autonomous Driving:
  • Experience with autonomous driving stacks (perception, simulation, middleware like Cyber RT/Autoware).
  • Familiarity with automotive standards.
• Industrial 4.0:
  • Hands-on with PLM/SCADA systems, predictive maintenance, or digital twins.
  • Knowledge of IEC 62443, Gaia-X, or factory data compliance.

NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung