AI Data UX Engineer
Skills
About This Role
Overview
- strong>Design and ship the human side of enterprise AI./strong>
- A leading Abu Dhabi-based holding group is hiring an strong>AI Data UX Engineer/strong> 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 em>and/em> ship production frontends and you care about making complex data genuinely usable we want to hear from you.
- Reports to the AI Solutions Manager./p>
- strong> /strong>
- strong>What you'll own:/strong>
- Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI./p>
- Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs./p>
- Design Power BI experiences reports, semantic models, and themes optimized for decisions and performance./p>
- Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics./p>
- Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI)./p>
- 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./p>
- Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality./p>
- Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls./p>
- Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information./p>
- 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./p>
- 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./p>
- 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./p>
- strong> /strong>
- strong>Core skills and tools/strong>
• Figma, Fluent UI, React/TypeScript, HTML/CSS./p>
- Power Apps and Power Pages; MSAL and Microsoft Graph integration./p>
- Power BI: DAX, modeling, performance tuning, governance with Fabric/Purview./p>
- UX research, usability testing, accessibility, localization, and content design./p>
- Telemetry (App Insights), feature flags, and experimentation./p>
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