Jordan's ICT workforce crossed 47,840 active professionals in 2025 — a figure tracked by the Information and Communications Technology Association of Jordan (int@j), covering engineers, data scientists, and technology managers registered across Jordan's 2,000-plus active ICT companies (int@j Sector Report 2025; Petra News Agency, July 2025). Against that base, the country's universities added 12,000 ICT graduates in the 2024/25 academic cycle, a figure the Ministry of Digital Economy and Entrepreneurship (MoDEE) confirmed under the Jordan Digital Skills Supply and Demand Gap Analysis released this year. An AI engineer at the four-to-seven-year mark in Amman earns between $20,925 and $62,775 annually on a domestic contract (Jobicy Jordan AI Engineer Salary Index 2026; cross-referenced against Glassdoor Amman data, Q2 2026). A Gulf AI employer engaging the same profile on a remote contract — structured via employer-of-record through a UAE-registered or Saudi-registered entity — is paying $80,000 to $160,000 annually, denominated in USD or AED, with no Jordan income tax deduction under current Jordanian law. The arithmetic is not subtle. What is undersourced is how systematically Gulf AI employers are now accessing that spread, and what the Amman talent infrastructure actually looks like behind the headline.
What Happened
The companies that built the Amman engineering ecosystem were not Gulf sovereign funds. They were a regional ride-hailing platform, a logistics company founded in Jordan and now headquartered in Dubai, and a MENA e-commerce pioneer that Amazon acquired for approximately $580 million in 2017.
Careem, the Dubai-headquartered super-app subsidiary of Uber, operates its largest engineering hub outside the Gulf in Amman. As of mid-2026, more than 600 tech professionals work across Careem's three distributed engineering hubs in Pakistan, Jordan, and Egypt — a cohort that represents 55 percent of the company's total engineering organisation globally (Careem press release, June 2023; company reconfirmed in engineering.careem.com). The Amman pod contributes to shared-platform machine learning functions: demand forecasting models that run across the Careem network from Amman to Riyadh, Arabic-language customer experience tooling, and route optimisation infrastructure. Selim Turki, Careem's Senior Director of Engineering for Data and AI, oversees the distributed team architecture that makes Amman engineering output — including ML model deployment — indistinguishable in the product from engineering shipped from Dubai. Careem's Next Gen graduate programme has supported more than 150 engineers across Jordan, Egypt, and Pakistan since inception, with data science and infrastructure engineering among the primary specialisations. The Amman hub is not a cost centre separated from core AI work. It is the AI team, distributed.
Amazon, through its 2017 acquisition of Souq.com — the Arab world's largest e-commerce platform, which maintained a leading Product and Engineering centre in Amman — now employs approximately 750 engineers and technical professionals in Jordan (Jordan Times, 2017; Amazon Amman Glassdoor data, 2025). The Souq.com alumni network that Amazon inherited is now one of Amman's most productive tech talent conduits: engineers who trained on Arabic-language search, Arabic recommendation systems, and MENA logistics infrastructure, and who now circulate across Amman's startup and remote-employer ecosystem. Twenty-nine active Amazon/AWS engineering positions are listed for Amman on LinkedIn as of July 2026, spanning software development, AI infrastructure, and MENA market technology.
Aramex, the global logistics platform co-founded in Amman in 1982 by Fadi Ghandour — and listed on the Dubai Financial Market since its 2005 IPO — is the oldest anchor in Amman's AI-adjacent engineering community. Aramex's AI implementations include machine learning geocoding (the proprietary Geocoder system), NVIDIA-partnership-based route optimisation tools that cut average daily driving distances by 100 to 120 kilometres per truck across GCC deployments, and the 2025 Shipsy integration for dynamic last-mile delivery AI. Aramex's engineering base remains Amman-linked even as the company's headquarters migrated to Dubai. Its Chief Digital and Technology Officer role sits above a distributed team with deep roots in the Jordanian engineering community.
Gulf sovereign AI employers are now layering onto that existing infrastructure. Mubadala-backed G42 and Aramco Digital — Saudi Aramco's technology and cloud subsidiary — are actively engaging Jordanian engineers through remote contract pipelines, per ENTRA sourcing from Amman-based technical recruiters speaking not for attribution. The contract structure is typically employer-of-record through a UAE or Saudi entity: USD-denominated at the $80,000-to-$160,000 band, with no mandatory UAE or KSA relocation in the initial term, and a UAE Golden Visa or KSA Premium Residency option presented at the twelve-to-eighteen-month mark for engineers who choose to transition in-market.
Why It Matters
The structural case for Amman as a Gulf remote AI supply node rests on four non-replicable facts that Cairo, which has a larger volume argument but a different proximity story, cannot match on every dimension simultaneously.
UTC+3 alignment with Riyadh. Jordan permanently abolished daylight saving time in October 2022, locking the country at UTC+3 year-round — placing Amman in the same timezone as Saudi Arabia and one hour behind Abu Dhabi. For Gulf AI teams running daily standups at 10:00 Gulf Standard Time, Amman engineers are already at their desks. The async-management overhead that burdens US and European remote hires is structurally absent.
The graduate supply rate. int@j CEO Nidal Bitar, writing in the Jordan Times, frames Jordan's position in unambiguous terms: "The shortage of qualified human resources constitutes a cornerstone challenge of digital transformation" globally — with some forecasts pointing to a deficit of up to 85 million ICT jobs by 2030. Jordan's 12,000 ICT graduates per year, entering a domestic market of 47,840 professionals already, create a structural oversupply that Gulf remote employers can access with minimal recruiting friction. Approximately 22 percent of all Jordanian university graduates hold IT or engineering degrees, the highest sectoral concentration in the Arab world (Jordan Higher Education Ministry statistics, 2024).
Arabic-English bilingualism at the engineering level. The Amman engineer pool that Gulf AI employers target is not merely Arabic-native. It is technically English-proficient at the documentation, code-review, and stakeholder-communication level — a profile shaped by the German-Jordanian University's dual-language engineering curriculum, PSUT's internationally aligned ICT programme, and the University of Jordan and JUST graduate cohorts who have been shipping English-documented code for global employers since the Maktoob and Souq.com eras. For Gulf AI product companies building Arabic-first models — NLP, voice, document processing — Amman engineers hold the intersection of production AI experience and Arabic linguistic depth that is the specification Gulf employers say they cannot fill domestically.
A functional remote-work legal framework. Jordan's Labour Law amendments of June 2023 (Law No. 10 for 2023) clarified remote-work provisions and secondment arrangements for foreign-company employment, creating a transparent legal path for Gulf entities to engage Jordan-based engineers through employer-of-record structures. The model does not require a Jordan-registered entity from the employer side. EOR platforms including Deel and Remote.com cover Jordan as a standard jurisdiction, processing payroll in USD or JOD at the prevailing Central Bank of Jordan rate, with full Labour Law compliance. Jordan's Economic Modernisation Vision (2022) explicitly identifies ICT export services — including remote employment for foreign entities — as a priority sector targeting $5.46 billion in ICT GDP contribution by 2033, up from $1.27 billion currently.
What's Next
Three indicators define Amman's remote AI corridor trajectory through the rest of 2026.
Jordan's AI Strategy 2023-2027 enters its three-year milestone review in Q4 2026. The strategy encompasses 68 targeted projects, including national AI compute infrastructure, a dedicated AI talent certification framework under MoDEE, and accelerated research collaboration between the University of Jordan, JUST, and international AI institutions. If the midpoint review results in additional budget commitment — a likely outcome given Jordan's Economic Modernisation Vision ICT growth targets — the AI-specific graduate pipeline will accelerate faster than the general ICT supply figure.
The Gulf remote contract rate in the $80,000-to-$160,000 band will face upward pressure. As Mubadala-backed G42, Aramco Digital, and stc's technology portfolio companies formalise Amman sourcing pipelines in H2 2026, competition for the senior ML engineer cohort — the four-to-seven-year profile with Arabic NLP experience and production model deployment history — will compress the availability window. Amman's cost advantage over the in-Gulf rate exists precisely because this market is not yet competed. It will not remain uncompeted past 2027.
The conversion arc is already running. Engineers contracted remotely at $120,000 by a UAE-registered Gulf AI employer for twelve to eighteen months are the natural candidates for UAE Golden Visa sponsorship and in-Dubai relocation at a step-up to the full $160,000-to-$200,000 Gulf in-market senior band. Amman is both a terminal remote-work location and a pre-qualification funnel for Gulf in-market hiring. The two are not in tension. They are sequential stages in the same Gulf AI talent acquisition strategy.
Amman is not waiting to be discovered. The engineering depth was built across three decades — from Maktoob to Souq.com to Careem — by companies that used it because it delivered. Gulf AI employers arriving at that bench in 2026 are not early movers. They are catching up to a corridor that Uber, Amazon, and Fadi Ghandour validated long before sovereign AI capital arrived.