AI Solutions Architect

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.

[Core Responsibilities]

1.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

2.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)

3.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

[Basic Qualifications]

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; French is a strong plus

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