AI Data Engineer, RingBlink Customer Service Engineering and Insights

Were hiring an AI Data Engineer to build and scale AI-powered analytics tools for Ring & Blink Customer Service. Youll turn AI prototypes into production systems that business users rely on daily conversational analytics agents AI teammates self-service data tools and intelligent automation.

The team has a clear AI vision active prototypes and an engineering culture where everyone already uses AI in their daily work. Your job is to take ideas to production keep them reliable expand to new use cases and own what you ship. Youll build fast ship often and iterate based on real user feedback.

The team uses a mix of AI tools some running locally for individual productivity others deployed in the cloud for scalability and broader user access. Youll work across both: building AI agents and tools that range from developer-facing automation to user-facing analytics products.

Youll work alongside data engineers platform engineers and BI engineers who own the underlying data infrastructure and dashboards. You own the AI-powered layer on top the part that makes data accessible answers trustworthy and users self-sufficient.

Key job responsibilities
Build AI-Powered Data Products (45%)

Business users shouldnt need to file a ticket to get answers. You build the tools that make them independent.

* Build and deploy conversational analytics agents that let users query CS data in natural language
* Productionize AI teammates and agents for specific use cases transcript analysis metrics Q&A contact summarization pipeline monitoring using internal platforms and cloud-hosted agent frameworks
* Wire together the full stack: data sources (Redshift S3) AI layer (LLMs agents semantic logic) user interface
* Own the end-to-end delivery: from prototype handoff through production deployment user onboarding and iteration

Ensure Correctness & Governance (25%)

AI tools that give wrong answers are worse than no tools at all. You make them trustworthy.

* Build validation mechanisms does the AI answer match the source of truth
* Define and maintain the semantic layer: metric definitions business logic allowed data scope
* Design guardrails: what data can AI access what questions are in scope how to handle uncertainty
* Own the permission architecture for AI tools (user groups access policies cross-account controls)
* Implement confidence scoring audit trails and feedback loops

Maintain Monitor & Scale (20%)

Shipped is not done. You keep AI products healthy and improving.

* Monitor AI tool performance accuracy and usage
* Respond to user feedback and iterate fix whats broken improve whats clunky
* Build automated validation and alerting for AI outputs
* Scale successful patterns to new use cases and new user groups
* Document what you build so others can extend it

Standardize AI Patterns for the Team (10%)

The team already uses AI individually. You make the best patterns reusable.

* When you build something that works package it: shared agents reusable skills prompt templates standard workflows
* Contribute to the teams AI development practices not by mandating but by building things others want to copy
* Keep the team current on whats working and whats not in the AI tooling landscape

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at CA Hawthorne - 132100.00 - 178800.00 USD annually