Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
Hawthorne, CA, United States • Posted June 02, 2026
Job Type:
Full-time
Location:
Hawthorne, CA
Posted:
June 02, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
Description
We seek an AI Platform Builder—a Data Engineer focused on developing Platforms and Agentic AI solution—who 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 engineering—requiring 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 stack—from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessibl...
We seek an AI Platform Builder—a Data Engineer focused on developing Platforms and Agentic AI solution—who 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 engineering—requiring 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 stack—from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessibl...
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