Amazon · 1 day ago
Sr. AI Platform Data Engineer, Ring Decision Science
Hawthorne, CA
Full-time
Onsite
Senior Level
$139K/yr - $240K/yr
5+ years expAmazon 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 and datasets that enhance AI/ML initiatives and self-service analytics, while collaborating with various stakeholders across the organization.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
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
Required
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
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
Benefits
Equity
Sign-on payments
A full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
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 CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-06
2026-01-06
2026-01-06
Company data provided by crunchbase