携程AI Solution EN SHACC FLT(MJ034036)

Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace in 10 countries, adding millions of new products. Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a results oriented Team Manager who can learn quickly and build trust with various stakeholders in a dynamically changing environment. In this role, s/he will be a key member of the Asia Global Selling ESM Team, helping ESM lead AI solution team, translate business needs & requirement into AI-driven product solutions, building BRDs and needle move the development of product/tool solutions, identifying more growth opportunity and put into scalable product design, as well as optimizing existing work process and develop tools & mechanisms to improve Account Management efficiency. The ideal candidate will have demonstrated Product Management skills and specifically the ability to shape work for themselves and supporting other team mates. The position requires strong communication skills and the ability to build and maintain strong working relationships with numerous stakeholders within the organization. S/he also has a track record of program management, leading business initiatives, building SOP/tools, and turning data into insights.

- 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.

Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work. As a Technical Account Manager (TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises. Within the Enterprise Support team, TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration. Every day will bring new and exciting challenges on the job while you: - Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation - Drive the development and implementation of collaborative AI agents within the TAM organization - Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q. - Make recommendations on AI architecture, security, cost optimization, and operational excellence - Champion internal AI agent success stories to inspire customer innovation - Complete analysis and present periodic reviews of AI workload performance - Guide customers in developing responsible AI practices while ensuring security and compliance - Foster an ecosystem where AI and humans progress together through knowledge sharing - Work with AWS AI/ML service teams to advocate for customer needs - Participate in customer requested meetings (onsite or via phone) - Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues - Available in non-business hours to handle urgent issues Location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong (HK visa sponsorship available)

• Design and develop AI-powered solutions to identify potential product supply in Asia countries to address customer demands, and to recommend supply chain solutions for Sellers. • Develop go-to-market strategies for new products and services. • Define and track key metrics to measure the success of sourcing and supply chain management initiatives • Drive continuous improvement in operational efficiency through technology innovation • Build and maintain strong relationships with stakeholders across different regions