AI Engineer

Company Description We are a leading diversified infrastructure developer and investor based in GCC, focusing on transformative projects that support national growth and modernization. The company is involved in planning, financing, and delivering large-scale infrastructure across sectors such as energy, utilities, transportation, and social infrastructure. We partners with public and private stakeholders to bring advanced technologies and sustainable solutions to complex infrastructure challenges. The organization offers opportunities to contribute to strategic projects that shape the future of infrastructure in the wider region.

Role Description The AI Engineer will work on-site in Malaysia in a full-time capacity, that sits at the intersection of data, automation, and intelligent technology. You will work across the full data to-insight lifecycle. Building pipelines, dashboards, automated workflows, and AI-powered tools that give our team and leadership clear, timely visibility across the business.

AI Development & Agentic Systems: Build and deploy AI agents, integrate large language models into business workflows, and develop intelligent automation for summarization, notifications, and decision support. Research and test new AI solutions for business needs.

Data & Pipeline Support: Connect data sources to Microsoft Fabric and support reliable data pipelines and warehouse structures. Use SQL to prepare data for dashboards and AI solutions, ensuring accuracy, consistency, and quality.

Business Intelligence & Reporting: Build and maintain Power BI dashboards for operational and executive reporting. Work with business teams to define KPIs and turn complex data into clear, actionable insights.

Automation & Power Platform: Develop workflows and applications using Power Automate, Power Apps, and AI Builder. Connect these tools with data sources and AI systems to reduce manual tasks and improve efficiency.

Stakeholder Collaboration & Project Delivery: Work closely with business teams to understand challenges and deliver practical, data-driven solutions. Communicate technical findings clearly and manage small projects from planning to delivery with minimal supervision.