Responsibilities
* Partner with the sales team to formulate and execute a technical sales strategy that accelerates cloud adoption in Alibaba Cloud.
* Lead hands-on architectural engagements to design, build, and migrate applications, platforms, and workloads onto Alibaba Cloud—ensuring performance, reliability, security, and cost efficiency.
* 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, databases—to provide solutions for feasible AI and cloud requirements.
* Conduct workshops and technical sessions (in-person or virtual) to accelerate customer understanding and confidence in deploying on Alibaba Cloud.
* Capture, document, and share best practices, reference architectures, and lessons learned across the global Alibaba Cloud Solutions Architecture group.
* Contribute to customer-facing content such as solution design, white papers, blog posts, and demo assets that showcase successful use cases and technical excellence.
* Build trusted relationships with senior technical decision-makers and champions within customer organizations, empowering them to become advocates for cloud and AI innovation.
* Act as the technical bridge between customers and internal Alibaba Cloud teams—including Sales, Product, Engineering, Legal, and Finance—to design compliant, secure, and operationally viable solutions that deliver tangible impact.
Job Requirements
* 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 AI, public cloud, or IT services—including roles in product design/development, AI algorithm engineering, solution architecture, or pre-sales support. Candidates from AI-native companies or major international cloud providers are strongly preferred.
* AI Technical Skills: Proficient with leading large language models such as Qwen, Wan, Gemini, OpenAI, Claude, etc. 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.).
* AI Business Development: Deep understanding of the AI landscape and business use cases. Continuously track advancements in large models, agent and industry trends. Capable of engaging clients in strategic discussions about AI applications and business models, and designing AI solutions. Demonstrated ability to rapidly build and validate AI demos through 'vibe coding'.
* AI 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 AI models, and implementing cloud-based DevOps practices.
* Mindset: Fast learner, customer-centric mindset, self-motivated, passionate about AI innovation, and adaptable to fast-paced, evolving market dynamics.
* Global Collaboration: Comfortable with international travel and cross-time-zone teamwork; proficiency in Chinese is a plus.
* Qualifications: Familiarity with at least one major public cloud platform with certifications (e.g., AWS, Azure, GCP, OCI); experience with Alibaba Cloud services and the Tongyi ecosystem is a strong plus.
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