Alibaba Cloud Intelligence-Solutions Architect -Frankfurt, Munich

• Design and implement large-scale, compliant cloud infrastructures for AI workloads, including hybrid / multi-cloud, edge computing, and high-performance environments.
• Act as a hands‑on architect to solve complex technical challenges in distributed systems, real‑time data processing, large‑scale model training, and low‑latency inference for mission‑critical applications.
• Lead the end‑to‑end architecture of AI/ML‑powered cloud solutions (LLMs, computer vision, MLOps), from design to PoC and production readiness, for customers across industries such as Internet, Automotive, FinTech, and Healthcare.
• Provide expert‑level guidance on cloud‑native architectures, performance optimization, cost efficiency, reliability, and security.
• Lead complex technical pre‑sales activities (architecture workshops, PoCs, RFPs) for European enterprise customers, translating business and regulatory requirements into scalable, production‑grade cloud and AI architectures.
• Work closely with partners (Channels, SIs, ISVs, research institutions, universities) to co‑design and deliver industry‑relevant AI and cloud solutions, strengthening Alibaba Cloud’s ecosystem footprint in Europe.
• Serve as a trusted technical advisor to senior customer stakeholders, driving long‑term cloud and AI adoption.

Global Alignment & Regional Execution

• Collaborate closely with China and EMEA product, engineering, and architecture teams to adapt global cloud and AI capabilities to European regulatory, data sovereignty, and compliance requirements.
• Contribute hands‑on feedback from customer implementations to influence product roadmaps and solution blueprints for the European market.

Qualifications

• 6 - 15 years of hands‑on experience in cloud architecture on leading platforms (Alibaba Cloud, AWS, Azure), with strong practical exposure to AI/ML technologies (e.g., TensorFlow, PyTorch, LLMs, MLOps).
• Solid experience with European customers and regulatory environments is strongly preferred.
• Demonstrated ability to design, build, and troubleshoot complex cloud systems in production environments, not limited to high‑level architecture design.
• Proven expertise in at least two of the following domains:
• AI/ML: Model training and inference optimization, generative AI, AutoML, large‑scale MLOps pipelines.
• Cloud: Infrastructure as Code (IaC), Kubernetes, serverless architectures, HPC, hybrid and multi‑cloud networking.
• Data: Large‑scale data pipelines (Spark, Flink), data governance, and compliance‑aware data architectures.
• Fluent in English and German (business and technical communication); Chinese language skills are a plus.