Amazon
Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
$155K–$209K
Hawthorne, CA · Senior · Full-time · Posted Dec 16, 2025
- Experience
- 5+ years of data engineering; 3+ years using querying or scripting languages or statistical/mathematical software.
About the job
Builds AI-first data platforms, pipelines, and curated datasets that support AI/ML initiatives and self-service analytics across Ring.
What you'll do
- Build and maintain scalable, privacy- and security-compliant data pipelines and curated datasets for AI/ML and analytics.
- Develop AI-powered self-service platforms, natural-language interfaces, and intelligent data governance systems.
- Partner with stakeholders and data science teams to deliver discoverable, well-modeled data and AI-enabled solutions.
What they ask for
- Experience mentoring team members on best practices.
- Experience developing, deploying, and managing AI products at scale.
- Experience with data modeling, warehousing, and ETL pipelines for analytics and ML; building datasets or features for ML or self-service analytics.
- Hands-on experience with GenAI-enhanced development pipelines, AI coding assistants, and prompt engineering; ability to build tools, frameworks, or platforms that enable others.
Nice to have
- Experience operating large data warehouses or non-relational data stores.
- Experience with AWS technologies, multi-agent systems, RAG, LLM fine-tuning, BI tools, or AI-native self-service data platforms.
Pay
154,600.00 - 209,100.00 USD annually (base salary)
Tools
SQL, Python, R, SAS, Matlab, Redshift, S3, AWS Glue
AI focus
Use AI-assisted development and agentic frameworks to build AI/ML data infrastructure, natural-language self-service platforms, and intelligent systems for data quality, discoverability, classification, PII detection, and lineage.
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