Senior AI Agent & Data Engineer, Amazon Global Selling AIT

Worldwide Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazons 19 overseas marketplaces and supporting local Sellers success and growth on the Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.
The Worldwide Global Selling Analytics Intelligence and Technology (WWGS-AIT) team serves as the research automation and insight arm of the International Seller Service data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGS organization while maintaining excellence in business insight generation and self-service BI/AI application development.

AIT is building the next generation of AI-ready data capabilities across the WWGS organization. We are looking for a Senior AI Agent & Data Engineer who can bridge modern data engineering with cutting-edge AI agent development designing the data foundation that powers our AI applications while directly engineering agentic systems that drive seller intelligence and automation.


Key job responsibilities
AI Agent Engineering

Design develop and deploy production-grade AI agent systems including multi-agent orchestration tool-use frameworks memory management and API integration ensuring reliability scalability and maintainability
Build and optimize Retrieval-Augmented Generation (RAG) pipelines: document ingestion chunking strategy embedding vector search and re-ranking to maximize LLM grounding quality
Support LLM adaptation to WWGS business domains through prompt engineering context injection fine-tuning signal curation and systematic prompt evaluation frameworks
Develop automated knowledge base construction and real-time data access capabilities (Data Agent MCP server/client) to connect AI agents with live business data
Design and implement LLM evaluation pipelines to systematically assess agent output quality hallucination risk and business impact

Data Engineering

Design and implement end-to-end data pipelines (batch and streaming) for data collection transformation and storage supporting both AI application and analytics use cases
Build and maintain integration layer data models that serve as a unified AI-ready data foundation across WWGS domains
Develop automated data quality monitoring alerting and observability tooling to ensure pipeline reliability and data trustworthiness
Integrate multi-source data (seller behavior transaction logs off-platform signals AI outputs) into a coherent governed data layer
Establish data standardization and governance policies ensuring consistency accuracy and compliance across AI and BI consumption layers

Technical Leadership

Provide technical guidance on AI-data architecture decisions; define best practices for the teams AI agent and data engineering stack
Collaborate cross-functionally with Product Operations and Science teams to translate business requirements into scalable technical solutions
Mentor junior engineers and conduct design reviews; raise the technical bar across the team


About the team
The Amazon Global Selling Analytics Intelligence and Technology (AGS-AIT) team serves as the research automation and insight arm of the International Seller Service data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGS organization while maintaining excellence in business insight generation and self-service BI/AI application development.

AGS-AIT is looking for a Senior Data Engineer to collaborate with cross-functional teams to design and develop data infrastructure and analytics capabilities for AGS AI and Automation initiatives.

- 7 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses

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