Alibaba Cloud Intelligence-GenAI Solutions Architect-Europe Central Germany

Job Title: Solutions Architect — AI / MaaS Location: Munich Company: Alibaba Cloud About the Role We are looking for a Solutions Architect to serve as the technical backbone of our MaaS and AI solutions business in Europe. You will partner closely with our Business Development team to provide pre-sales technical expertise, design AI/ML architectures, and enable customers to successfully adopt Alibaba Cloud's AI platform and model services. This is a high-impact role bridging cutting-edge AI technologies with real-world customer needs. Key Responsibilities Pre-Sales & Customer Engagement Partner with BD managers throughout the sales cycle, providing technical credibility and solution design support Lead technical discovery sessions to understand customer AI/ML workloads, data infrastructure, and business objectives Deliver compelling product demonstrations, technical presentations, and proof-of-concept engagements Address technical objections and architect solutions that meet customer requirements Solution Design & Architecture Design end-to-end AI/ML architectures leveraging Alibaba Cloud's MaaS offerings (Qwen/Tongyi models, PAI platform, EAS inference services) Create reference architectures for common use cases: LLM fine-tuning, RAG applications, model serving, multi-modal AI Develop technical proposals, architecture diagrams, and implementation roadmaps Ensure solutions align with European data residency, security, and compliance requirements (GDPR, AI Act) Enablement & Ecosystem Build reusable demo assets, technical documentation, and best practice guides Train and enable BD team members on technical product capabilities Contribute to partner technical enablement programs Gather field feedback to inform product development and localization priorities Qualifications Required 5+ years of experience in solutions architecture, technical pre-sales, or AI/ML engineering roles Hands-on experience with large language models, including fine-tuning, prompt engineering, RAG, and inference optimization Strong understanding of cloud infrastructure (compute, storage, networking) and ML platforms Experience with at least one major cloud provider (Alibaba Cloud, AWS, Azure, GCP) Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face) Excellent communication skills with ability to explain complex technical concepts to both technical and business audiences Fluent in English and German Preferred Background in serving AI-native startups or enterprise AI transformation projects Familiarity with containerization (Docker, Kubernetes) and MLOps practices Knowledge of European AI regulations and data compliance frameworks

• Bachelor degree / Master a plus - deep understanding of AI/Token/Cloud technologies - ability to consult customers on building AI solutions - drive to build relationships with TDMs - strong communication skills required to expand technical communities (presentations etc.)