Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science

We seek an AI Platform Buildera Data Engineer focused on developing Platforms and Agentic AI solutionwho embraces prompt-driven development with strong technical analytical communication and stakeholder management skills. This role sits at the intersection of data engineering business intelligence and platform engineeringrequiring partnership with software development engineers scientists data analysts and business stakeholders across various verticals. You will design evangelize and implement platform features and curated datasets that power Artificial Intelligence/Machine Learning (AI/ML) initiatives and self-service analytics helping us provide a great neighbor experience at greater velocity.

This role requires a first-principles approach to leveraging AI at every layer of the data stackfrom using AI agents to write and optimize code to building AI-powered platforms that serve AI models to deploying intelligent agents that make data accessible. You will use AI to build AI infrastructure automate the automation and create self-improving systems that continuously enhance data quality discoverability and usability.

Key job responsibilities
You will build and maintain efficient scalable and privacy/security-compliant data pipelines curated datasets for AI/ML consumption and AI-native self-service data platforms using an AI-first development methodology. As a trusted technical partner to business stakeholders and data science teams youll deliver well-modeled easily discoverable data optimized for specific use cases while leveraging AI-powered solutions and agentic frameworks to build continuously improving systems.

A day in the life
* Lead AI-assisted stakeholder engagement sessions across verticals like Subscriptions Security Sales and Marketing
* Design and build curated datasets leveraging AI code generation and Agentic AI tools
* Build and maintain data pipelines using AI-assisted development with AWS services and internal Amazon tools
This Role will:
* Implement AI-powered self-service platforms with natural language interfaces
* Create intelligent governance systems for data classification PII detection and lineage tracking
* Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively

About the team
The Analytics & Science team for Decision Sciences is at the forefront of Rings transformation into an AI-powered organization. We address cross-organizational data models develop governance frameworks provide direct Business Intelligence (BI) support across multiple teams and build customer-facing and internal AI tools that fundamentally improve how effectively and quickly the organization makes decisions.

- Experience mentoring team members on best practices
- 5 years of data engineering experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Experience developing deploying and managing AI products at scale
- Experience with data modeling warehousing and building Extract Transform and Load (ETL) pipelines for both analytics and ML use cases
- Experience building datasets or features for machine learning models or self-service analytics
- Extensive hands-on experience with Generative AI (GenAI) enhanced development pipelines AI coding assistants and prompt engineering
- Demonstrated ability to build tools frameworks or platforms that enable others

- Experience operating large data warehouses
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience building multi-agent systems LangChain/LangGraph applications or custom AI agent frameworks
- Experience with prompt engineering Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) fine-tuning
- Experience with BI tools (QuickSight Tableau Looker) and designing datasets for analytical consumption
- Experience building or contributing to AI-native self-service data platforms feature stores or intelligent data cataloging systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.