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Engineering Manager, Saudi Arabia

Scale AI· GPS Engineering
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Riyadh full-timePosted 3mo ago

About the role

Engineering Manager role focused on leading AI application delivery for Saudi government clients, combining engineering leadership, AI/ML delivery, and direct client engagement as a founding member of Scale AI’s regional team.

Responsibilities

  • Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery
  • Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences
  • Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery
  • Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases
  • Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services
  • Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production
  • Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies
  • Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment
  • Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus
  • Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization

Qualifications

  • 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development
  • 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams
  • Strong AI/ML engineering foundation—hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production
  • Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces
  • Proven experience in a customer-facing or client-embedded engineering role—comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders
  • Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs
  • Ability to translate complex government business requirements into practical, scalable engineering solutions
  • Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments
  • Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences
  • Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens
  • Experience working in or with the GCC region is strongly preferred; Arabic language skills a plus

Skills

Required:Software engineeringAI/ML engineeringClient-facing / stakeholder managementAPI design and integration
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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