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Description

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. It's not about building models from scratch; it's 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.

Basic Qualifications

- Bachelor's 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

Preferred Qualifications

- 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 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.

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 https://amazon.jobs/en/benefits .

USA, CA, Hawthorne - 129,200.00 - 174,800.00 USD annually