Director -AI

Damac Group is hiring Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale. About the Role: You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business. You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise. Key Impact Areas: • Own end-to-end AI delivery — concept → build → production → scale • Lead deployment of AI across Sales, Marketing, Capital Projects, and Corporate Platforms • Architect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflows • Build and lead cross-functional AI engineering teams (Product, Data, Engineering) • Establish MLOps, deployment standards, and governance frameworks • Drive adoption, performance, and measurable business ROI from AI systems What We’re Looking For: • 10–15+ years in engineering, AI, or large-scale technology delivery • Proven track record deploying AI/ML systems into production at enterprise scale • Strong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelines • Hands-on understanding of LLMs, orchestration frameworks, and MLOps • Experience leading technical teams and senior stakeholders • Ability to operate 50/50 technical and business-facing Preferred Experience: • Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential. • Experience embedding AI into complex, multi-system enterprise environments Show more Show less

10–15+ years in engineering, AI, or large-scale technology delivery. Proven track record deploying AI/ML systems into production at enterprise scale. Strong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelines. Hands-on understanding of LLMs, orchestration frameworks, and MLOps. Experience leading technical teams and senior stakeholders. Ability to operate 50/50 technical and business-facing.

Own end-to-end AI delivery — concept → build → production → scale. Lead deployment of AI across Sales, Marketing, Capital Projects, and Corporate Platforms. Architect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflows. Build and lead cross-functional AI engineering teams (Product, Data, Engineering). Establish MLOps, deployment standards, and governance frameworks. Drive adoption, performance, and measurable business ROI from AI systems.