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Government-backed Abu Dhabi organization focused on advanced technology R&D (est. 2020), defining strategy, funding, and policies across AI, robotics, and emerging technologies. Oversees the full innovation lifecycle - from research and programs to commercialization - through dedicated applied research, innovation, and venture entities.
The first production system is an AI-enabled operational platform that gives a senior leadership team a shared situational picture, an AI-classified signal feed, a daily AI-generated briefing, and an action accountability tracker. MVP target: operational within two weeks of team formation. The platform is also the technical foundation for all subsequent Data & AI systems across the organization.
Build the dashboard frontend and support the backend integration layer for the DAIO's(Data & AI Office) operational systems. In the near term: a React SPA with four panels (situational posture, live signal feed, daily briefing with approval workflow, and action accountability tracker), role-based views, Azure AD SSO, and a mobile-optimized action update interface. The system must be responsive on mobile, performant under concurrent use, and stable enough to trust under real operational conditions.
React + TypeScript SPA — four-panel layout: colour-coded posture indicator, live signals feed, briefing with approval workflow, actions tracker with overdue highlighting
Role-based UI — operational users (read/write on posture and actions, read-only on signals and brief), admin (full write), executive (read-only)
Azure AD SSO integration — MSAL.js, MFA enforcement, session management
Action update interface — pick action, set status, optional note, mobile-optimized for one-handed use
Briefing review and approval UI — editable fields, approval button with confirmation, approval audit display
Posture transition UI — scenario selector, de-escalation criteria checklist, senior sign-off field
CI/CD pipeline — GitHub Actions deploying to Azure App Service on merge to main
Mobile responsiveness — all panels usable on a 390px viewport in field conditions
KEY DECISIONS THIS ROLE OWNS
Component architecture — which state lives in the component, which in a global store, which is server-side
API polling vs. WebSocket for live signal feed — based on Azure App Service constraints
Mobile-first vs. desktop-first layout priority for each panel
Loading state and error boundary design — what users see when the backend is slow or unavailable
Accessibility decisions for time-critical interactions (posture change, approval button)
WHAT THIS ROLE DOES NOT DO
Define API contracts — the Backend Engineers own the spec; the Full Stack Engineers implement against it
Manage Azure infrastructure — DevOps owns provisioning
Build the backend API service — full stack here means owning frontend plus integration with an existing API, not building the server
Write AI prompts or classification logic
PROFILE OF THE IDEAL CANDIDATE
Has built a real-time dashboard used by non-technical users under high-stakes conditions. Understands that operational UI must be immediately legible — no ambiguous colour coding, no states that require explanation, no loading spinners that leave users uncertain. Ships quickly, tests critical flows, and does not block on design assets. Can integrate against an API spec and identify missing fields before they become a blocker.
React 18 + TypeScript — hooks, context, component composition
Tailwind CSS or equivalent — responsive layout, mobile-first design
MSAL.js — Azure AD authentication in SPAs
REST API integration — fetch/axios, error handling, loading states
State management — React Query or Zustand (not Redux unless justified)
GitHub Actions — frontend build and deploy pipeline to Azure App Service
Mobile responsiveness — CSS Grid/Flexbox, viewport testing across devices
Vitest / React Testing Library — component tests for critical UI flows
PDF export (for approved briefing download)
WebSocket or SSE (for real-time signal feed if polling is insufficient)
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