Dubai-Based AI Deployment Engineer (Arabic Speaking)

Murphy AI; Dubai; On-site; AED 240,000 - 480,000; Full time

Benefits offered by this job

Top-tier salary

Equity with upside

Real ownership

Small autonomous team

Founders’ direct attention

Job summary

Murphy is seeking a Forward Deployed Engineer in Dubai to lead deployment and integration of Murphy’s AI platform for the Middle East and Arabic-speaking markets. You will run discovery sessions, tailor configurations, and ensure measurable value in production while working closely with customers and cross-functional teams.

The role emphasizes autonomous work, deep technical skills, and strong collaboration with Product, Engineering, and Revenue teams to solve complex problems and accelerate

Qualifications

• Fluent in English and Arabic.
• Background in Data Science or Data Analysis.
• Strong ability to write and understand production-quality code.
• Comfortable working directly with customers and translating business requirements into technical solutions.
• Deep product and systems understanding: end-to-end data flows, architecture, dependencies, and system behavior.

Responsibilities

• Deliver robust client configurations.
• Ensure deployments are correctly scoped and go live with agreed requirements.
• Own configuration quality end-to-end.
• Optimize agent performance using data-driven iterations.
• Act as the technical counterpart to clients and explain constraints and trade-offs.
• Provide structured product feedback and raise clear product requests.
• Design scalable, reusable configurations across clients.

Skills

Arabic

English

Data Science

Customer-facing

Job description

Murphy is seeking a Forward Deployed Engineer in Dubai to lead deployment and integration of Murphy’s AI platform for the Middle East and Arabic-speaking markets. You will run discovery sessions, tailor configurations, and ensure measurable value in production while working closely with customers and cross-functional teams.

The role emphasizes autonomous work, deep technical skills, and strong collaboration with Product, Engineering, and Revenue teams to solve complex problems and accelerate