Sr. 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 customer 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 its development, and create self‑improving systems that continuously enhance data quality, discoverability, and usability.

Build and maintain efficient, scalable, 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.

• 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

• Experience mentoring team members on best practices
• 5+ years of data engineering experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
• Experience developing, deploying and managing AI products at scale
• Experience with data modeling, warehousing and building 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

• Experience operating large data warehouses
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases)
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience building multi‑agent systems, Lang Chain/Lang Graph 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 (Quick Sight, 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 compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  This position will remain posted until filled. Applicants should apply via our internal or external career site.