Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision ScienceAmazon • United States
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Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
Amazon
- United States
- United States
À propos
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. Basic Qualifications
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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted:
December 17, 2025 (Updated about 2 hours ago)
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Compétences linguistiques
- English
Avis aux utilisateurs
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