AI Engineer
Skills
About This Role
Overview
You'll build AI tools (like chatbots, document automation, and smart assistants) on Microsoft Azure, and connect them to systems the company already uses, like SharePoint, Teams, and SAP.
You'll also work side-by-side with the internal IT team to teach them how to maintain everything after the contract ends.
This is a builder role, not a strategy role.
You'll write production code, not slide decks.
What you'll do
- Design and deploy Azure-native AI solutions: RAG systems, agentic applications, document intelligence pipelines
- Integrate AI services with the Microsoft 365 ecosystem (Copilot Studio, SharePoint, Teams, Power Platform)
- Connect data from Box.com, SharePoint, and SAP SuccessFactors
- Implement security, identity (Entra ID), and AI governance controls
- Pair-program with the internal ICT team to transfer capability
- Set up CI/CD, monitoring, and cost-optimisation for AI workloads
- Document architecture decisions and operational runbooks
- Advise on Azure AI best practices and platform evolution
- What we're looking for
- Must have:
- 3 5+ years hands-on software engineering with AI/ML deployment focus
- Production experience on Azure (Azure OpenAI, AI Search, Document Intelligence, AI Foundry)
- Strong Python production-grade, not notebooks
- RAG pipelines at enterprise scale
- AI agent frameworks (Semantic Kernel, LangChain, AutoGen)
- Cloud infrastructure: networking, security, Entra ID / Azure AD
- AI integration with Microsoft 365, SharePoint, Teams
- Strong documentation and knowledge-transfer skills
- Nice to have:
- Box.com API experience
- SAP SuccessFactors or HRMS integrations
- UAE PDPL / data residency awareness
- Azure certs (AZ-305, AI-102, AZ-204)
- Previous FDE / solutions engineering experience
- Arabic
- GCC experience
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