Engineering Manager, UAE

Scale AI
Dubai
Workplace: OnsiteFull timeFunction: SalesExperience: 6+ yearsSkills: ["Communication","Leadership","Problem-solving"]

Lead and deliver AI-powered applications for UAE government clients, manage a team of engineers, own end-to-end delivery from data pipelines to frontend, and partner with product, Go-To-Market, and government stakeholders to translate requirements into scalable engineering solutions for public sector transformation.

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FursaFursa
Scale AI
Scale AI
2 months ago

Engineering Manager, UAE

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead and deliver AI-powered applications for UAE government clients, manage a team of engineers, own end-to-end delivery from data pipelines to frontend, and partner with product, Go-To-Market, and government stakeholders to translate requirements into scalable engineering solutions for public sector transformation.
Location: Dubai
Workplace: Onsite
Employment Type: Full time
Job Function: Sales
Seniority: Manager level

Key Responsibilities

  • •Lead and manage a team of engineers building AI-powered applications for UAE federal and local government clients, ensuring high-quality delivery and strong client outcomes
  • •Act as the primary technical point of contact for UAE government stakeholders—building trusted relationships, leading discovery workshops, and presenting solutions at the executive level
  • •Design, build, and optimize full stack AI applications end-to-end, spanning data pipelines, ML model integration, APIs, and frontend delivery
  • •Develop and deploy AI/ML solutions including LLM-powered applications, AI agents, and intelligent automation tailored to UAE government use cases
  • •Architect and maintain robust API integrations between Scale's platform and UAE government systems and third-party services

Key Requirements

  • •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 proven ability to manage and grow high-performing technical teams
  • •Strong AI/ML engineering foundation — hands-on experience building, fine-tuning, or deploying ML models and LLM-based applications in production
  • •Full stack engineering proficiency across backend services, APIs, data pipelines, and frontend interfaces
  • •Experience in a customer-facing or client-embedded engineering role, engaging with government or enterprise clients, running technical workshops, and communicating with non-technical stakeholders
Experience:6+ yearsPublic sectorGovernmentAI in government
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:APIsMLLLMData pipelinesFrontendBackendFull stack

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn