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Oracle · 1 day ago

UI/UX Designer - Dallas, TX

4835 Lyndon B Johnson fwy, Suite 540 Dallas, TX 75244, Dallas, Texas, US

Full-time

Onsite

Mid, Senior Level

$42K/yr - $147K/yr

7+ years exp

Oracle is seeking a forward-thinking UI/UX Designer to define the human-computer interaction standards for their Agentic AI products. The role involves designing intuitive co-working experiences that allow users to delegate tasks to autonomous agents and monitor their progress.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware

Responsibilities

Designing for Transparency (Chain of Thought): Create visual patterns that allow users to see how an agent is thinking and why it made a specific decision (e.g., status indicators, reasoning logs, and thought-process visualizations)

Human-in-the-Loop (HITL) Workflows: Design seamless 'intervention points' where an agent pauses to ask for permission, clarification, or feedback before taking high-stakes actions

Dynamic & Generative UI: Develop interfaces that adapt in real-time based on the agent's current task—moving away from static menus toward context-aware components

Trust & Error UX: Design how the system handles 'hallucinations' or failures. You will create graceful ways for the AI to admit uncertainty and for users to correct agent behavior

Multi-modal Interaction: Craft experiences that fluidly transition between text (chat), voice, and 'canvas' environments where agents and humans can work on the same document or data set simultaneously

Prototyping 'Agency': Use tools like Figma, Protopie, or low-code AI frameworks to prototype complex sequences where the software takes multiple steps autonomously

Qualification

UI/UX DesignAI-driven interfacesInformation ArchitectureAI LiteracySystemic ThinkingPsychology of DesignCanvas-based UIsHTML/CSSAngular

Required

7+ years in UI/UX Design, with a portfolio showcasing complex workflows, SaaS platforms, or (ideally) AI-driven interfaces

A deep understanding of how LLMs work, including concepts like latency, token streaming, and the probabilistic nature of AI responses

Ability to design 'states' rather than just 'screens'—understanding that the UI must reflect whether an agent is idle, thinking, searching, executing, or stuck

Expertise in organizing high-density information (logs, data sources, citations) into clean, digestible visual hierarchies

Familiarity with the 'uncanny valley' and the psychology of trust/automation bias in human-AI collaboration