Director, AI Systems & Scalable Defense Tech

Tanqeeb; Abu Dhabi; On-site; AED 600,000 - 1,000,000; Full time

Benefits offered by this job

Medical insurance

Wellbeing programs

Discount programs in UAE

Job summary

Space42 is seeking a Director - AI to lead the design, development, and deployment of large-scale AI systems across geospatial, digital twin, and defense portfolios. You will oversee the AI lifecycle from research to production, ensuring performance, security, and explainability.

The role combines technical authority with end‑to‑end delivery leadership, building high‑performing teams and ensuring sovereign and defense-grade requirements are met across cloud, hybrid, and edge environments.

Qualifications

• Master’s or PhD in Computer Science, AI, ML or closely related field.
• Solid Linux and systems-level expertise; 8+ years of software engineering experience.
• 8+ years of hands-on AI/ML development in production environments.
• 5+ years designing data warehouses or data lakes.
• 5+ years designing, implementing, maintaining custom ETL pipelines.
• Proven experience deploying AI systems at scale and mentoring teams.

Responsibilities

• Lead architecture, development, and deployment of AI models with focus on geospatial AI, CV, analytics, and decision-support systems.
• Define architectures for large-scale, secure deployments across cloud, hybrid, and edge environments.
• Provide hands-on guidance to senior engineers and ML researchers for best-in-class implementation and scalability.
• Drive adoption of MLops practices and engineering standards.

Skills

Linux

Systems-level

AI/ML development

Mentoring

Leadership

Python

C++

Data analysis

Education

Master’s or PhD in Computer Science / AI / ML

Tools

PyTorch

Data Warehouse

ETL pipelines

MLOps

AWS

Azure

GCP

Job description

Space42 is seeking a Director - AI to lead the design, development, and deployment of large-scale AI systems across geospatial, digital twin, and defense portfolios. You will oversee the AI lifecycle from research to production, ensuring performance, security, and explainability.

The role combines technical authority with end‑to‑end delivery leadership, building high‑performing teams and ensuring sovereign and defense-grade requirements are met across cloud, hybrid, and edge environments.