What are the responsibilities and job description for the Alibaba Cloud Intelligence-GenAI Solutions Architect-Europe Central Germany position at Alibaba Cloud?
Job description
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
Requirements
- 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.)