Engineering Manager, Saudi Arabia

Scale AI Scale AI · Data AI · Saudi Arabia · GPS Engineering

Engineering Manager to lead the development of AI applications for Saudi government clients, focusing on full-stack AI/ML delivery from data pipelines to APIs and frontend, including LLM-powered features and AI agents. Requires strong AI/ML engineering foundation, leadership experience, and client-facing skills.

What you'd actually do

  1. Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery
  2. Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences
  3. Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery
  4. Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases
  5. Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus

Skills

Required

  • AI/ML engineering
  • full stack development
  • engineering leadership
  • managing and developing technical teams
  • building, training, fine-tuning, or deploying machine learning models and LLM-based applications
  • backend services
  • APIs
  • data pipelines
  • frontend interfaces
  • customer-facing or client-embedded engineering
  • engaging directly with government or enterprise clients
  • leading technical discussions
  • designing and integrating APIs at scale
  • RESTful services
  • AI/ML APIs
  • translating government business requirements into scalable engineering solutions
  • shipping high-quality products and features
  • communication and presentation skills
  • adapting technical content for diverse audiences

Nice to have

  • Experience working in or with the Gulf Cooperation Council (GCC) region
  • Arabic language skills

What the JD emphasized

  • AI/ML engineering and full stack development
  • engineering leadership experience
  • Strong AI/ML engineering foundation—hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production
  • Proven experience in a customer-facing or client-embedded engineering role
  • Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments

Other signals

  • leading AI/ML delivery
  • shipping AI-powered applications
  • building and deploying AI/ML solutions
  • LLM-powered features
  • AI agents