Solution Architect - Frankfurt, Munich

Responsibilities

Deep Technical & Hands-on Architecture

• 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.

Customer & Ecosystem Engagement

• 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.