System Developer II, Ring​/Blink 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. It's not about building models from scratch; it's about ensuring AI-powered analytics are usable, reliable, and scalable across the organization.

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.

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.

• 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

• 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

• 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

• 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

• 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…