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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Platform Data Engineer, Ring Decision... - **Company:** Amazon.com, Inc. - **Location:** Hawthorne, CA, United States - **Experience:** Expert - **Salary:** $154,600.0 - $209,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Big Data, Code Generation, Databases, Information Engineering, Extract Transform Load (ETL), Data Stores, Query Languages, R (Programming Language), Graph Database, Identity and Access Management, Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Node.Js, Performance Tuning, Power BI, SAS (Software), Scala (Programming Language), Software Engineering, SQL Databases, Tableau (Software), Scripting, Data Classification, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Electronic Medical Records, Generative AI, Build Management, AI Platforms, Data Lineage, AWS Glue, Non-relational Database, Build Tools, Data Management, Virtual Agents, Looker Analytics, Data Pipelines, Amazon Redshift, Programming Languages - **Published:** July 27, 2026 - **Apply:** https://www.juju.com/job/00000000gjyjrd ## About the Role 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 - Experience developing, deploying and managing AI products at scale - 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 Preferred Qualifications - 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, FireHose, 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, 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 ## 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., 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. A day in the life * 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 This Role will: * 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 About the team 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [Stop using Node.js like in 2020! 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