Alibaba Cloud-AI Solutions Architect-Sunnyvale, California, USA

Alibaba Group LTD-posted about 2 months ago
Full-time • Mid Level
Sunnyvale, CA
5,001-10,000 employees
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers
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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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • Experience with both SQL and NoSQL databases is a plus.
  • Familiarity with Alibaba Cloud's AI MaaS (Model Studio), and Tongyi Models (Qwen & Wan)
  • Proficiency in Mandarin is highly advantageous.
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