System Developer II, RingBlink Customer Service Engineering Services

Role Summary
We are seeking a System Developer who will focus on AI reporting deployment to join our Customer Service Engineering Services team at Ring & Blink. This role accelerates the adoption of AI-powered analytics by grounding AI reporting in CS data defining metric logic and business language for AI systems and integrating AI outputs into existing workflows. You will design guardrails to prevent hallucination drive adoption through enablement and measure success via usage trust and analyst time saved.
This role sits at the intersection of data engineering analytics and business enablement. Its not about building models from scratch; its about ensuring AI-powered analytics are usable reliable and scalable across the organization.

What We Mean by AI Deployment
In this new era of analytics the AI tools already exist (e.g. AI-powered reporting TextQL conversational analytics). The real challenge is turning those capabilities into something the business uses trusts and relies on day to day.
When we say deployment we mean:

- Making sure AI-based reporting is grounded in correct data
- Defining clear metric logic and business language so AI answers are consistent and explainable
- Designing guardrails (data scope permissions allowed questions) to prevent confusion or hallucination
- Integrating AI outputs into existing business workflows not as a standalone experiment
- Driving adoption through enablement examples and clear usage patterns
- Measuring success by usage trust and reduction of manual analyst dependency not just technical availability

The goal is to help us move from static dashboards to interactive AI-driven insights and from ad-hoc analyst questions to self-service trusted intelligence.

Role Context
At the time this role starts the team will have established core data infrastructure and AI analytics capabilities. The primary focus of this role is to ensure these AI-powered tools deliver value at scale by making them trusted integrated and widely adopted across the organization. You will work closely with BI Engineers Data Engineers Technical Architects data platform teams and business stakeholders to translate AI capabilities into production-ready business-integrated solutions.
The role requires a high degree of ownership and self-sufficiency. The ideal candidate is comfortable independently exploring existing systems and AI tools quickly identifying adoption barriers and driving improvements from problem definition through production. You will be expected to move fast in a dynamic environment proactively identify opportunities to improve AI analytics reliability and usability and remove roadblocks to keep delivery moving.


Key job responsibilities
AI Infrastructure & Access Management
Set up and maintain AI deployment infrastructure including user groups IAM roles and cross-account access policies
Establish and govern data asset locations (S3 Redshift Athena) for AI consumption
Implement and enforce security controls data access permissions and compliance requirements for AI systems

Ground AI in Data
Ensure AI-based reporting connects to validated CS data sources
Define data scope permissions and quality standards for AI-consumed datasets
Maintain semantic layers that translate business questions into accurate data queries

Design Guardrails & Business Language
Build guardrails around data scope and allowed question types to prevent hallucination
Establish clear metric definitions and business terminology for consistent AI answers
Implement validation and confidence scoring for AI-generated insights

Drive Integration & Adoption
Embed AI outputs into existing dashboards reports and operational workflows
Create documentation usage patterns and enablement materials for business users
Measure success through usage metrics trust indicators and analyst time savings

About the team
The CS Engineering Services team powers customer service operations for Blink and Ring unifying expert Salesforce developers software engineers BI engineers and data scientists. We deliver innovative solutions that enhance customer experience and agent effectiveness through advanced solutions and data-driven insights. Our culture emphasizes rapid prototyping creative problem-solving and continuous learning through cross-training. Team members are empowered to think strategically and propose innovative approaches to complex problems.

- Bachelors degree in computer science or equivalent
- Experience in automating deploying and supporting large-scale infrastructure
- Experience with CI/CD pipelines build processes
- Strong proficiency in SQL and data modeling for analytics use cases
- Experience with Python for data processing and automation
- Experience with AWS data services (S3 Redshift Athena Glue or similar)
- Hands-on experience with IAM roles security policies and access management in cloud environments
- Demonstrated ability to design end-to-end solutions for AI tool integration and deployment including data architecture access patterns and workflow integration
- Understanding of data governance security compliance and data quality principles
- Strong communication skills with ability to work across technical and business stakeholders

- Experience with distributed systems at scale
- Experience deploying or integrating AI/ML analytics tools or conversational analytics platforms
- Familiarity with AI-powered reporting tools (e.g. TextQL QuickSuite natural language query interfaces)
- Experience building semantic layers or business logic layers for analytics
- Knowledge of data security frameworks and compliance requirements (GDPR)
- Experience measuring and optimizing user adoption of analytics tools
- Understanding of prompt engineering or guardrail design for AI 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 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 - 129200.00 - 174800.00 USD annually