AI Platform Data Engineer II, Ring Decision Science

Amazon • Hawthorne, CA

4d

About The Position

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.

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,
you'll deliver well-modeled, easily discoverable data optimized for specific use
cases while leveraging AI-powered solutions and agentic frameworks to build
continuously improving systems.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Nice To Haves

• 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)

Responsibilities

• 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed