Director - Software Engineering (Inception42)

Inception42, a G42 company, is the region\u2019s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer \u2013 transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai As Director - Software Engineering at Inception42, you will lead multidisciplinary engineering teams responsible for building and operating production AI products and platforms. You will set technical direction, strengthen engineering execution, and ensure that software, data, and machine learning systems are reliable, secure, and scalable. The role operates across product delivery, architecture, quality, DevSecOps, and applied R&D in a high-ownership environment focused on real-world deployment. Inception42, a G42 company, is the region\u2019s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer \u2013 transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai As Director - Software Engineering at Inception42, you will lead multidisciplinary engineering teams responsible for building and operating production AI products and platforms. You will set technical direction, strengthen engineering execution, and ensure that software, data, and machine learning systems are reliable, secure, and scalable. The role operates across product delivery, architecture, quality, DevSecOps, and applied R&D in a high-ownership environment focused on real-world deployment.

Lead multidisciplinary engineering teams responsible for building and operating production AI products and platforms. Set technical direction, strengthen engineering execution, and ensure that software, data, and machine learning systems are reliable, secure, and scalable. The role operates across product delivery, architecture, quality, DevSecOps, and applied R&D in a high-ownership environment focused on real-world deployment.