Amazon.com Services LLC
Data Science, Data Engineering, alexa and amazon devices
AIPlatformDataEngineer,RingDecisionScience,RingDecisionScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Platform Data Engineer, Ring Decision Science, Ring Decision Science at Amazon.com Services LLC. Skills: Data engineering, AI Platform, Agentic AI. Build and maintain data pipelines. Build curated datasets”
What You'll Achieve.
Provide a great neighbor experience; Deliver data optimized for specific use cases; Improve how effectively and quickly the organization makes decisions
Industry & Context.
First-principles approach
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Build and maintain data pipelines
Build curated datasets
Build AI-native self-service data platforms
Deliver well-modeled data
Deliver easily discoverable data
Leverage AI-powered solutions
Build continuously improving systems
Lead AI-assisted stakeholder engagement sessions
Design curated datasets
Build data pipelines using AI-assisted development
Implement AI-powered self-service platforms
Create intelligent governance systems
How You'll Work.
Team & Collaboration
Partnership with software development engineers; Partnership with scientists; Partnership with data analysts; Partnership with business stakeholders
Communication Scope
Technical; Communication
Full Job 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. 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. 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 too
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