Solutions Architect

Roles

To design and implement transformative Model-as-a-Service (MaaS) and cloud architectures that solve complex business challenges. This role bridges high-level business requirements with deployable technical solutions, leading the technical strategy to increase Alibaba Cloud's market share and technical influence.

Responsibilities

• As an Al Solutions Architect (SA), support the Al Maas (Model-as-a-Service) sales team in expanding large Al model engagements with HKG&MAC and global customers, driving increased token consumption of Alibaba's large models in overseas markets
• Engage with global clients on both business and technical architecture discussions to understand their needs, identify opportunities, and guide Al MaaS deals toward successful closure.
• Leverage Alibaba Cloud's Bailian platform and its suite of large models, including Qwen, Wan, and related cloud services such as GPU instances, PAI, ECS, and databases, to provide a feasible AI and cloud solution to customer requirements
• Based on the client's industry and specific use cases (e.g., social platforms, model marketplaces, video platforms, AI data services, enterprise AI productivity enhancement, etc.), provide a solution consultant covering model selection, architecture design, prompt engineering, RAG implementation, agent development, and more, ensuring smooth execution of client initiatives.
• Develop and deliver tailored demos aligned with client scenarios using techniques such as prompt engineering and workflow orchestration to demonstrate product capabilities, facilitate technical discussions, and accelerate project adoption
• Collaborate closely with internal AI product teams to translate customer feedback into actionable product requirements, drive improvements to the AI model, and provide support for resolving critical Al product and operational issues for key accounts

Qualifications

• Education: Bachelor's degree or higher in Computer Science, Electronics, Software Engineering, Artificial Intelligence, Data Science, or a related field. Master's or MBA preferred.
• Experience: Minimum 2 years of professional experience in Al, public cloud, or IT services, including roles in product design/development, Al algorithm engineering, solution architecture, or pre-sales support. Candidates from Al-native companies or major international cloud providers are strongly preferred
• Al Technical Skills: Proficient with leading large language models such as Qwen, Wan, Gemini, OpenAl, Claude, etc. Solid understanding of LLM technical principles and hands-on experience developing Al applications using mainstream frameworks and tools (e.g., Alibaba Cloud Bailian, Claude Code, LangChain,n8n, Dify, MCP, Skills,etc.).
• Al Business Development: Deep understanding of the Al landscape and business use cases. Continuously track advancements in large models, agent and industry trends. Capable of engaging clients in strategic discussions about Al applications and business models, and designing Al solutions. Demonstrated ability to rapidly build and validate Al demos through "vibe coding".
• Al Algorithm Skills (Preferred): Familiar with large model fine-tuning concepts (e.g., full fine-tuning, LORA, QLORA) and PEFT principles. Able to assess customer fine-tuning needs, collaborate with algorithm teams, and support validation efforts. Hands-on experience with Alibaba Cloud PAI, Hugging Face, or similar platforms is a plus.
• Cloud Expertise: Understanding of cloud computing and AI infrastructure concepts, with practical experience in cloud environments, including setting up cloud services, invoking Al models, and implementing cloud-based DevOps practices.
• Mindset: Fast learner, Customer-centric mindset, self-motivated, passionate about Al innovation, and adaptable to fast-paced, evolving market dynamics.
• Global Collaboration: comfortable with international travel and cross-time-zone teamwork