Senior Solution Architect

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.