Lead Technologist

ABOUT US | Whiteshield is an AI-native sovereign intelligence company helping governments move from insight to action and from planning to continuous adaptation. Its platform combines workforce intelligence, economic intelligence and adaptive policy applications to support decision-makers in real time. Founded in 2011, the company combines public policy expertise, proprietary data assets and AI-enabled applications to support decision-makers across workforce development, economic competitiveness and societal transformation. With principal operations in Dubai (DIFC) and Riyadh and a global footprint spanning the Middle East, Europe, Africa, Eurasia and Asia, Whiteshield serves governments, sovereign institutions, multilateral organisations and leading corporations worldwide. Its technology portfolio equips leaders with decision intelligence, workforce intelligence and adaptive policy solutions. Whiteshield’s mission is to help build adaptive societies where every citizen can learn, provide and connect.

WHERE YOU FIT IN | We’re a high-velocity, impact-driven team building software and data-driven solutions at the edge of innovation. Whether launching products from zero to one or helping clients adapt to emerging technologies, we operate in dynamic environments where experimentation, rapid delivery, and collaboration are constant. AI isn’t an add-on here - it’s embedded in how we design, build, test, and ship. From AI-assisted coding and automated test generation to intelligent architecture reviews and data-driven decision loops, we leverage AI-native workflows to move faster and build smarter. We’re looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won’t just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems. You’re a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You’ve built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You’re comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC. You’re also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces. You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.

WHAT YOU WILL DO | ❖ Architect and build scalable, innovative software solutions; internally and for clients ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner ❖ Rapidly prototype, iterate, and validate solutions using modern technologies ❖ Balance short-term deliverables with long-term vision for scalable systems ❖ Work across cross-functional teams to align product goals, timelines, and execution ❖ Mentor junior engineers and contribute to growing a culture of technical excellence ❖ Evaluate new technologies to be implemented at scale for citizen impact ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery

OUR CORE TECH STACK (Flexible) | ❖ Backend: C# / .NET / Python ❖ Frontend: React / Next.js ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB ❖ Cloud: Azure or Google ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code