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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
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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