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Agentic Designer

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Safelite Group
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Agentic Experience Designer

Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.

A

Brief Overview

We are building the next generation of how customers, clients, and colleagues interact with Safelite, with agentic AI creating new possibilities for how people access services, make decisions, and engage with us. We are seeking an Agentic Experience Designer to define how intelligent experiences work across Safelite. You will design how people express intent, how agents interpret and respond to it, how experiences adapt to context, and how interaction moves across conversation, voice, interface, and human support.

Reporting to the Director of Product Design, you will work alongside product management and engineering on the teams building these experiences, shaping the product from early exploration through production and continuous improvement. This is a hands‑on individual contributor role for a designer who wants to define interaction models for an emerging class of products and establish what excellent agentic experience design looks like at Safelite.

What

you will do
  • Design agentic experiences
  • Design end‑to‑end experiences that allow customers, clients, and colleagues to express intent and interact naturally with intelligent systems.
  • Define how experiences move across conversation, voice, visual interfaces, structured inputs, and system actions based on the needs of the interaction.
  • Design how agents interpret intent, gather context, clarify ambiguity, make recommendations, confirm decisions, take action, and communicate outcomes.
  • Account for the complexity of real interactions, including changing intent, incomplete information, interruption, correction, repeat engagement, and exceptions.
  • Design beyond the interaction itself, connecting the agent experience to the underlying service, operational process, and outcome.
  • Design agency, control, and trust – Establish clear interaction models for what an agent can understand, recommend, decide, and act on.
  • Design appropriate levels of customer control based on context, confidence, consequence, and risk.
  • Create experiences that communicate uncertainty and limitations clearly without placing the burden of navigating the system on the user.
  • Design escalation and human intervention as part of the experience, preserving context and continuity across transitions.
  • Integrate transparency, consent, and explainability into the experience in ways that support trust without introducing unnecessary friction.
  • Define interaction patterns for intelligent experiences – Establish reusable patterns for agentic, conversational, adaptive, and multimodal experiences across Safelite.
  • Explore new interaction models made possible by systems that can interpret context, generate responses, take action, and adapt over time.
  • Partner with design system teams to integrate agentic patterns into Safelite’s broader experience system.
  • Codify principles and patterns as the organization learns, creating a foundation that becomes stronger with each implementation.
  • AI‑Enabled Experience Optimization – Use AI‑native tools to analyze customer interactions at scale, identify patterns, surface emerging issues, and uncover opportunities to improve agent behavior and experience quality.
  • Move between patterns across thousands of interactions and individual conversations to understand where intent, agent behavior, and outcomes diverge.
  • Use AI to form and investigate hypotheses, identify root causes, and determine where changes to the agent or experience can…
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