Alibaba Cloud Intelligence-GenAI Solutions Architect -Frankfurt, Munich

Alibaba Cloud

München

Sur place

EUR 110 000 - 170 000

Plein temps

Il y a 13 jours

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Résumé du poste

Alibaba Cloud in Europe seeks a Solutions Architect to be the technical backbone for MaaS and AI solutions. You will partner with the BD team to deliver pre-sales expertise, design AI/ML architectures, and enable customers to adopt Alibaba Cloud's AI platform and model services.

You will lead technical discovery sessions, deliver demonstrations, and create implementation roadmaps while ensuring GDPR and AI Act compliance across EU deployments.

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.

Responsabilités

  • 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
  • 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)

Connaissances

Cloud architecture
AI/ML technologies
Regulatory compliance (GDPR, AI Act)
Pre-sales / solution design
Multi-cloud & Kubernetes
English & German communication

Outils

Kubernetes
IaC
Spark
Flink

Description du poste

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
  • 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
  • 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
  • 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.
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