Business Intelligence Engineer BIE Selling Partner Experience

The Selling Partner Experience (SPX) is on a mission to build and enable a trusted Selling Assistant (Project Amelia) that empowers our partners (e.g. sellers account managers) to thrive in Amazon Stores globally. By enabling our partners to ask questions in their own words at any time and from anywhere in their selling journey we will reduce the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The Selling Assistant will stay by the partners side communicate in their language remove bottlenecks to accessing information and enable them to capitalize on opportunities.
We are looking for a dynamic selfstarting Business Intelligence Engineer (BIE) to join our innovative team focused on LLMbased agentic conversational AI system. In this role you will work with cuttingedge AI technologies to enhance our data infrastructure develop BI solutions and extract meaningful insights that drive business strategies. Your work will directly influence the development and optimization of intelligent autonomous systems that interact with Selling Partners and learn from conversations to improve their experience doing business with Amazon.



Key job responsibilities
Design and develop scalable data pipelines to collect transform and store largescale conversational data generated by LLMbased system.
Build realtime dashboards and reports that track key metrics such as response accuracy user engagement and AI system effectiveness.
Analyze the autonomous behavior of agentic conversational agent using data insights identifying areas for improvement and ensuring alignment with business objectives.
Ensure the accuracy consistency and reliability of data used by conversational AI systems implementing data quality checks and establishing governance frameworks.
Provide support and consultation to business leaders and product managers helping them understand performance metrics and make datadriven decisions.

Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
35 years of experience as a Business Intelligence Engineer Data Scientist or related role with a strong focus on largescale data and AI systems.

Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Familiarity with machine learning models and AI/ML concepts especially as they apply to conversational AI and LLMs

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.