Job Summary:
Alibaba Cloud is seeking an AI Solutions Architect for international business to support their AI MaaS sales team in expanding large AI model engagements globally. This role involves engaging with clients to understand their needs, providing tailored AI solutions, and collaborating with internal teams to enhance product offerings.
Responsibilities:
โข Support the AI MaaS (Model-as-a-Service) sales team in expanding large AI model engagements with global customers, driving increased token consumption of Alibabaโs large models in overseas markets.
โข Engage with global clients on both business and technical architecture discussions to understand their needs, identify opportunities, and guide AI MaaS deals toward successful closure.
โข Leverage Alibaba Cloudโs Bailian platform and its suite of large modelsโincluding Qwen, Wan, and related cloud services such as GPU instances, PAI, ECS, databasesโto provide solution of the feasible AI and cloud solutions to customer requirements.
โข Based on the clientโs industry and specific use cases (e.g., social platforms, model marketplaces, video platforms, AI data services, enterprise AI productivity enhancement, etc.), provide solution consultant covering model selection, architecture design, prompt engineering, RAG implementation, agent development, and moreโensuring smooth execution of client initiatives.
โข 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.
โข Collaborate closely with internal AI product teams to translate customer feedback into actionable product requirements, drive improvements to AI model , and provide support for resolving critical AI product and operational issues for key accounts.
Qualifications:
Required:
โข Bachelorโs degree or higher in Computer Science, Electronics, Software Engineering, Artificial Intelligence, Data Science, or a related field.
โข Minimum 2 years of professional experience in AI, public cloud, or IT servicesโincluding roles in product design/development, AI algorithm engineering, solution architecture, or pre-sales support.
โข Proficient with leading large language models such as Qwen, Wan, Gemini, OpenAI, Claude, etc.
โข Solid understanding of LLM technical principles and hands-on experience developing AI applications using mainstream frameworks and tools (e.g., Alibaba Cloud Bailian, Claude Code, LangChain, n8n, Dify, MCP, Skills, etc.).
โข Deep understanding of the AI landscape and business use cases.
โข Continuously track advancements in large models, agent and industry trends.
โข Capable of engaging clients in strategic discussions about AI applications and business models, and designing AI solutions.
โข Demonstrated ability to rapidly build and validate AI demos through 'vibe coding'.
โข Understanding of cloud computing and AI infrastructure concepts, with practical experience in cloud environmentsโincluding setting up cloud services, invoking AI models, and implementing cloud-based DevOps practices.
โข Fast learner, Customer-centric mindset, self-motivated, passionate about AI innovation, and adaptable to fast-paced, evolving market dynamics.
โข Comfortable with international travel and cross-time-zone teamwork.
Preferred:
โข Masterโs or MBA preferred.
โข Candidates from AI-native companies or major international cloud providers are strongly preferred.
โข Familiar with large model fine-tuning concepts (e.g., full fine-tuning, LoRA, QLoRA) and PEFT principles.
โข Able to assess customer fine-tuning needs, collaborate with algorithm teams, and support validation efforts.
โข Hands-on experience with Alibaba Cloud PAI, Hugging Face, or similar platforms is a plus.
โข Proficiency in Chinese is a plus.
Company:
Alibaba Cloud develops cloud computing and data management services. It is a sub-organization of Alibaba Group. Founded in 2009, the company is headquartered in Hangzhou, CHN, with a team of 10001+ employees. The company is currently Late Stage.