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

Amazon • Hawthorne, CA

1d

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.

Requirements

• Experience mentoring team members on best practices
• Experience with data modeling, warehousing and building Extract, Transform, and Load (ETL) pipelines for both analytics and ML use cases
• 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 ability to build tools, frameworks, or platforms that enable others

Nice To Haves

• Experience operating large data warehouses
• 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 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

Responsibilities

• 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.
• 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