AI Data UX Engineer

Overview

Ai Data Ux Engineer

• to design and build the user experience layer for AI assistants, BI surfaces, and data apps across desktop, mobile, and Teams.
• If you can both design and ship production frontends — and you care about making complex data genuinely usable — we want to hear from you.
• Reports to the AI Solutions Manager.
• What you'll own:
• Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI.
• Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs.
• Design Power BI experiences — reports, semantic models, and themes — optimized for decisions and performance.
• Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics.
• Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI).
• Collaborate with the delivery partner's squads and internal engineers to align UX with platform constraints and non-functionals — making data availability a first-class design and delivery outcome.
• Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality.
• Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls.
• Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information.
• Design governed user experiences for data interaction — search, view, update requests, approvals — aligned to access controls, auditability, and workflow patterns, without owning core database engineering.
• Design explainability and trust UX: citations, confidence cues, audit trails, and "why this answer" patterns for assistants and analytics surfaces to improve adoption and responsible use.
• Work closely with the delivery partner's visualization and UX engineers on a shared "definition of done" for dashboards, assistant UX surfaces, and adoption telemetry.