Enterprise AI Platform Leader

Robinson & Co (Singapore) Pte Ltd; Dubai; Vor Ort; AED 900.000 - 1.300.000; Vollzeit

Zusammenfassung

Al‑Futtaim Automotive in Dubai seeks a visionary leader to build and scale an enterprise‑grade AI Platform across multiple automotive brands. You will drive AI strategy, platform engineering, and data‑driven decision making while delivering measurable business value.

Leading a cross‑functional team, you will embed AI into customer journeys, orchestrate services, and enable experimentation at scale, balancing innovation with reliability and governance.

Qualifikationen

• Bachelor's or master's degree in computer science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or related technical discipline.
• Professional certifications in cloud architecture, enterprise architecture, AI, platform engineering or related technology domains are highly regarded.

Aufgaben

• Embed AI into critical customer and operational journeys.
• Build reusable AI and automation capabilities that scale across brands and functions.
• Turn machine learning models into enterprise‑grade services.
• Enable experimentation as a core business capability.
• Establish a modern platform foundation for future AI innovation.
• Create measurable business value through automation, orchestration, and intelligent decision‑making.

Kenntnisse

Agentic AI

Generative AI

LLM applications

AI Platforms

MLOps

LLMOps

Workflow orchestration

API-first

Enterprise integration

Cloud-native platforms

Experimentation

Ausbildung

Bachelor's or Master's in CS/SE/CE/AI/Data Science

Professional cloud/EA/AI certifications

Jobbeschreibung

Al‑Futtaim Automotive in Dubai seeks a visionary leader to build and scale an enterprise‑grade AI Platform across multiple automotive brands. You will drive AI strategy, platform engineering, and data‑driven decision making while delivering measurable business value.

Leading a cross‑functional team, you will embed AI into customer journeys, orchestrate services, and enable experimentation at scale, balancing innovation with reliability and governance.