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.