Director - Software Engineering

Job Description:

Inception
42, a G42 company, is the region’s 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 – 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.inception
42.ai

As Director - Software Engineering at Inception
42, 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, Dev Sec Ops , and applied R&D in a high-ownership environment focused on real-world deployment.

• Set engineering direction and execution priorities in line with Inception
  42’s product, technology, and business objectives.
• Lead, develop, and support engineering managers and senior technical leaders across multidisciplinary teams.
• Build an engineering culture grounded in ownership, technical rigor, collaboration, and continuous improvement.
• Drive planning and delivery across complex engineering initiatives, making clear trade-offs across scope, time, resourcing, cost, and quality.
• Guide architecture and technical decisions across software platforms, data infrastructure, machine learning pipelines, and model deployment systems.
• Improve the scalability, reliability, performance, and operability of production data and ML systems.
  
  Establish engineering standards for data management, MLOps, testing, release quality, observability, and operational readiness.
• Embed security and compliance into the software development lifecycle through practical Dev Sec Ops  controls and automation.
• Sponsor focused R&D initiatives, evaluate emerging technologies, and move credible experiments into production capabilities.
• Collaborate closely with Product, Data, AI/ML, Security, and Enterprise Architecture to align technical execution with customer and business outcomes.
• Create clear operating mechanisms for delivery health, technical risk, engineering quality, and team effectiveness.
• Communicate engineering strategy, progress, trade-offs, and outcomes clearly to technical and executive stakeholders.

• Strong engineering fundamentals and a demonstrated track record of leading diverse engineering teams through complex delivery.
• Experience shipping and operating production software, data, or machine learning systems at meaningful scale.
• Deep understanding of data infrastructure, MLOps, quality engineering, Dev Sec Ops , and the software development lifecycle.
• Ability to translate company objectives into technical strategy, operating plans, architecture priorities, and measurable outcomes.
• Sound systems thinking and judgment across reliability, security, performance, cost, and delivery speed.
• Strong communication skills, with the ability to align technical teams and explain decisions to senior stakeholders.
• Comfort operating in ambiguity, resolving competing priorities, and taking accountability for execution.
• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with regulated, multi-tenant, high-availability, or national-scale platforms.
• Exposure to applied AI products, research collaborations, or production model-serving environments.
• Experience leading…