Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science jobs in United States
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Amazon · 5 hours ago

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

Amazon is seeking an AI Platform Builder—a Data Engineer focused on developing Platforms and Agentic AI solutions. This role involves designing and implementing platform features that support AI/ML initiatives and self-service analytics, while collaborating with various stakeholders to enhance data accessibility and quality.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

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

Qualification

Data modelingETL pipelinesGenerative AIAI coding assistantsPrompt engineeringBI toolsStakeholder managementMentoringCommunication

Required

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

Preferred

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

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

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase