Job Description

Basic Infomation

Department:


AliCloud Intelligence Group


Degree:


Bachelor


Work Experience:


7 year

As the AI Solutions Architect, you will be the primary technical leader and customer advocate for Alibaba Cloud's cutting-edge AI Model-as-a-Service (Model Studio) and Tongyi Models (Qwen & Wan) offerings. You will guide our enterprise clients in leveraging the power of AI to solve their most complex business challenges and drive innovation.
[Core Responsibilities]
1. AI Solution Design & Pre-Sales:
- Collaborate with key enterprise customers to understand their business goals and architect bespoke AI solutions using our MaaS platform.
- Design and lead POC engagements for complex use cases, including RAG, model fine-tuning, and agent-based systems.
- Translate customer requirements into robust, scalable, and secure architecture designs for deploying and managing LLM on Alibaba Cloud.
2. Technical Evangelism & Strategic Influence
- Act as a thought leader in the AI space, challenging existing paradigms and bringing innovative ideas to our customers and internal teams.
- Deliver compelling technical presentations, demonstrations, and workshops to key decision-makers, from C-level executives to lead engineers.
- Analyze market trends in the rapidly evolving generative AI landscape, identifying opportunities and developing competitive differentiation for our AI MaaS solutions.
3. Customer Success & Technical Advisory
- Guide customers through the entire AI adoption lifecycle, from initial ideation and model selection to deployment, monitoring, and optimization (MLOps).
- Serve as the trusted technical advisor, ensuring successful implementation and providing best practices for model lifecycle management, cost optimization, and security.
- Troubleshoot complex technical challenges and orchestrate resources across product and engineering teams to ensure customer success.
4. Ecosystem Enablement & Knowledge Sharing
- Develop a repository of high-value technical assets, including AI solution blueprints, best practice guides, and compelling case studies.
- Create and deliver training materials to empower our internal sales teams and ecosystem partners to effectively position and sell our AI MaaS offerings.
- Capture critical feedback from customers and the market to directly influence the roadmap of Alibaba Cloud's AI products and services.

Position Requirement

[Basic Qualifications]
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
- 7+ years of experience in a customer-facing technical role (e.g., Solutions Architect, AI/ML Engineer, Data Scientist) with a strong focus on machine learning and AI applications.
- Proven experience architecting and deploying solutions on at least one major cloud platform (Alibaba Cloud, AWS, Azure, GCP).
[Required Technical Expertise]
- Deep Understanding of AI/ML Concepts: Solid foundation in machine learning, deep learning, and natural language processing (NLP). Deep familiarity with LLM architectures, fine-tuning methodologies (e.g., LoRA), RAG, and prompt engineering.
- Hands-on AI/ML Frameworks: Proficiency with modern AI/ML frameworks such as PyTorch or TensorFlow, and extensive experience with the Hugging Face ecosystem (Transformers, PEFT, etc.).
- Generative AI Development: Practical experience building LLM-powered applications using frameworks like LangChain or LlamaIndex.
- MLOps & Infrastructure: Strong knowledge of the machine learning lifecycle and MLOps principles.
- Vector Databases & Data Technologies: Familiarity with vector databases (e.g., Milvus, Pinecone, ChromaDB) and their role in AI applications. Experience with both SQL and NoSQL databases is a plus.
- Preferred Alibaba Cloud Experience: Familiarity with Alibaba Cloud's AI MaaS (Model Studio), and Tongyi Models (Qwen & Wan)
[Professional Skills]
- An effective team player with a professional work ethic, confidence, and the ability to collaborate across technical and business teams.
- Exceptional problem-solving skills, with an ability to navigate ambiguity and deliver results in a fast-paced, innovative environment.
- Language Proficiency: Excellent verbal and written communication skills in English. Proficiency in Mandarin is highly advantageous.