AI Platform Data Engineer II, Ring Decision Science
Share
Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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
This Role will:
* 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
* 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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Extensive hands-on experience with Gen AI enhanced development pipelines AI coding assistants (GitHub Copilot Amazon Q Cursor etc.) and prompt engineering
- Demonstrated track record of building AI agents agentic workflows or AI-powered automation tools
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
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
This Role will:
* 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
* 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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Extensive hands-on experience with Gen AI enhanced development pipelines AI coding assistants (GitHub Copilot Amazon Q Cursor etc.) and prompt engineering
- Demonstrated track record of building AI agents agentic workflows or AI-powered automation tools
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
