Sr. AI Platform Data Engineer, Ring Decision Science
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Job Location:
Monthly Salary:
Posted on:
05-11-2025
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
* 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.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building Extract Transform and Load (ETL) pipelines for both analytics and ML use cases
- Experience with Structured Query Language (SQL) and at least one programming language (Python Java Scala or NodeJS)
- 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 track record of building AI agents agentic workflows or AI-powered automation tools
- Demonstrated ability to build tools frameworks or platforms that enable others
- Experience with AWS technologies like Bedrock SageMaker Redshift Simple Storage Service (S3) AWS Glue EMR Athena Kinesis FireHose Lambda Step Functions SageMaker Feature Store and Identity and Access Management (IAM) roles and permissions
- 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 in at least one modern scripting or programming language with production-quality code standards
- Experience with non-relational databases / data stores
- 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.
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
* 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.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building Extract Transform and Load (ETL) pipelines for both analytics and ML use cases
- Experience with Structured Query Language (SQL) and at least one programming language (Python Java Scala or NodeJS)
- 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 track record of building AI agents agentic workflows or AI-powered automation tools
- Demonstrated ability to build tools frameworks or platforms that enable others
- Experience with AWS technologies like Bedrock SageMaker Redshift Simple Storage Service (S3) AWS Glue EMR Athena Kinesis FireHose Lambda Step Functions SageMaker Feature Store and Identity and Access Management (IAM) roles and permissions
- 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 in at least one modern scripting or programming language with production-quality code standards
- Experience with non-relational databases / data stores
- 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.
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.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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