
Scale AI
Engineering Manager, AI/ML Public Sector Applications
- Permanent
- Riyadh, Saudi Arabia
- Experience 5 - 10 yrs
- Urgent
Job expiry date: 28/10/2026
Job overview
Date posted
13/09/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 30,000 - 40,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
28/10/2026
Job description
AI applications for Saudi government clients get built and delivered under this Engineering Manager role in Riyadh, sitting at the intersection of engineering leadership, AI/ML delivery and direct client engagement. You lead and manage a team of engineers delivering AI-powered applications for KSA government clients, keeping output high quality and delivery on time. Government stakeholders get a primary technical point of contact in this role, translating complex engineering concepts into language non-technical audiences can follow. Full stack AI applications get designed, built and optimized end to end, spanning data pipelines, ML model integration, APIs and frontend delivery. LLM-powered features, AI agents and intelligent automation tailored to government use cases get developed and deployed, backed by API integrations connecting Scale's platform with government systems and third-party services. You partner with product, go-to-market and government counterparts to define requirements, scope solutions and drive delivery from concept through production. Client-facing settings such as workshops, demos and executive briefings with KSA government agencies fall within scope, alongside managing the full product lifecycle across multiple workstreams at once. Engineers on the team get mentored and developed, shaping team culture, engineering processes and best practices across the Global Public Sector organization.
Required skills
Key responsibilities
- Lead and manage a team of engineers delivering AI-powered applications for KSA government clients
- Serve as the primary technical point of contact for KSA government stakeholders, translating engineering concepts for non-technical audiences
- Design, build and optimize full stack AI applications end-to-end, from data pipelines through APIs and frontend delivery
- Develop and deploy AI/ML solutions including LLM-powered features, AI agents and intelligent automation for government use cases
- Build and maintain 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 and scope solutions
- 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
- Mentor and grow engineers on the team, fostering technical excellence and customer focus
- Shape team culture, engineering processes and best practices within the Global Public Sector organization
Experience & skills
- Carry 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development
- Bring 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams
- Demonstrate a strong AI/ML engineering foundation, including hands-on experience building, training, fine-tuning or deploying machine learning models and LLM-based applications in production
- Show full stack engineering proficiency across backend services, APIs, data pipelines and frontend interfaces
- Hold proven experience in a customer-facing or client-embedded engineering role, engaging directly with government or enterprise clients
- Apply experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs
- Translate complex government business requirements into practical, scalable engineering solutions
- Maintain a track record of shipping high-quality products and features at pace in ambiguous environments
- Communicate with excellent presentation skills, adapting technical content for diverse audiences
- Gain experience working in or with the Gulf Cooperation Council region, strongly preferred; Arabic language skills a plus