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

Job :  |  Services LLC

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 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.

• 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.
• Act as a trusted technical partner to business stakeholders and data science teams to deliver well‑modeled, easily discoverable data optimized for specific use cases while leveraging AI‑powered solutions and agentic frameworks to build continuously improving systems.

• Lead AI‑assisted stakeholder engagement sessions across verticals such as 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.

The Analytics & Science team for Decision Sciences is at the forefront of Ring's 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.
• Experience with SQL.

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions.
• Experience with non‑relational databases or 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.

Los Angeles County applicants:
Job duties for this position include cooperating safely with other employees, adhering to standards of excellence despite stressful conditions, communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service, following all federal, state, and local laws and Company policies, and exercising sound judgment, effectively managing stress, and safeguarding business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The base salary range for this position is US $ – $ annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below)..

Posted:
June 4, 2026 (Updated 25 minutes ago)