阿里云阿里云智能-GenAI Solutions Architect-International AI Native

The Senior Solutions Architect (SA) role is a pre-sales technical position in Alibaba Cloud’s international business division. Our seasoned solution architects offer comprehensive IT knowledge and industry insights when crafting solutions for customers and partners. Solution Architects are ultimately responsible for architect solutions that enable customer success. Key responsibilities include, but are not limited to: • Working closely with customers to ensure the successful delivery of Alibaba Cloud services • Design large-scale, compliant cloud infrastructures (e.g., multi-cloud, edge computing) for AI workloads (LLMs, computer vision, MLOps). • Guiding large enterprise implementation and operation, preferably in AIML/GenAI projects. • As a cloud solution architect, evangelizing and helping customers and partners understand the technical and business benefits of Alibaba Cloud products, solutions, and services • Understanding the unique requirements of customers and partners, and providing appropriate technical solutions and architecture designs based on Alibaba Cloud technologies, solutions, and services • Responsible for demo development and testing Alibaba Cloud services when necessary • Assisting customers in migrating their existing IT systems to Alibaba Cloud • Output a market insight analysis report of segmented fields based on demand information such as market development trends, market space, core scenarios, and pain points in the segmented fields. • Produce targeted solutions according to customer needs, in the project, develop a correct product selection strategy, POC test strike strategy, bidding & bid strategies, product configuration strategy, etc., achieve contract signing, and continuously ensure the increase of Alibaba Cloud's market share with this customer. • Promote the incubation and replication of public cloud solutions in segmented fields. • Identify and deal with risks of the technology and project during the solution landing process on time, collaborate with the product and delivery teams for normal fulfillment, and achieve revenue conversion. • Accumulate knowledge documentation such as universal cloud architecture templates, best practices, and cases for the segmented fields/scenarios. • Provide presentations, evangelism, and empowerment training for sales teams and eco-partners. • Abstract and summarize product requirements and defects in segmented fields, promote product improvement, new product projects, and major functions launch, and enhance product competitiveness.

- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.

• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.

• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.