- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.

The development of new Android innovative features and applications and initiatives across the organization. Investigate, prototype, and deliver new and innovative software applications. Deliver high quality software through working in a diverse, team-focused Agile/Scrum environment. Instill best practices for software development and documentation, assure designs meet requirements, and deliver quality work Support the development activities by being onsite with the partners and vendors. Experience of

Deal with vendors and retail team escalations for responsible destination countries. Provide logistics solutions to key vendors. Identify process improvement opportunities and drive actions through collaboration with Amazon internal teams.

• Identify and pursue new business opportunities in the rapidly growing Life Science & Healthcare market, including pharmaceutical companies, innovative research and development, medical devices, life sciences, genetic research, home care, and other relevant sectors. • Build and maintain strong relationships with key stakeholders, decision-makers within target accounts. • Develop and execute effective sales strategies, tailored to the unique needs and requirements of potential customers. • Collaborate with cross-functional teams, including technical experts and product managers, to develop compelling value propositions and solutions. • Conduct in-depth market research, analyze industry trends, and stay up-to-date with emerging technologies and innovations in the Life Science & Healthcare space. • Manage the entire sales cycle, from lead generation and qualification to contract negotiation and closing deals. • Consistently achieve or exceed sales targets and contribute to the company's overall growth and success in the Life Science & Healthcare market.

• Drive Migration MDU and cross functional team in large scale opportunity development and closing including building business cases, proposals and plans to help customers identify and realize business value outcomes through migration and modernization into the AWS platform • Work with sales and marketing to identify and execute campaign to build the funnel of opportunities. • Lead cadence with cross functional teams and stakeholders for pipeline and deal reviews and drive continuous improvement. • Periodically document and present Migration business results, insights, learnings and recommendations to leadership.

You will have the opportunity to collaborate with customers, sales, solutions architecture, software development and service teams to deliver technical solutions that solve some of the most complex and challenging technology problems of today. You will work with customer and internal stakeholders to scope work, set business goals, identify appropriate resources, track and report on progress and develop schedules. You will be a single point of contact to your customer and internal stakeholders on the progress of all the activities related to your customer. You will also need to assess risks, anticipate bottlenecks, provide critical issue management, balance trade-offs, and encourage risk-tasking to maximize business value. You will be an AWS evangelist and influence your customers to allocate the appropriate resources to achieve their goals. At AWS we value critical thinking, self-motivation, and the ability to deal with ambiguity. You should bring a cool head, strong technical background, be detail oriented, have excellent problem solving abilities, and be an exemplary communicator. Your technical expertise and operational excellence will influence your team’s decisions and help us drive secure and robust customer solutions. We love people who innovate, use data to make decisions, and can express themselves thoughtfully. We want you to be passionate about delivering a great customer experience, and love contributing to a team goal.

1. Design, develop, and maintain scalable data pipelines to support ML model development and production deployment. 2. Implement and maintain CI/CD pipelines for the data and ML solutions. 3. Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions. 4. Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place. 5. Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements. 6. Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications. 7. Participate in code reviews and contribute to the development of best practices for data engineering within the team.

职位：Global Manufacturing &Ops SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续3个月 · 工作地点：上海 · 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.