Head of Field-Embedded AI Delivery

Mozn; Riyadh; On-site; SAR 900,000 - 1,350,000; Full time

Job summary

Mozn is seeking a VP of Forward Deployed Engineering to build and lead a multidisciplinary team delivering AI solutions inside client organizations in Saudi Arabia. You will own delivery outcomes, supervise engineers and data scientists, and turn field learnings into repeatable playbooks and platform improvements.

The role demands leadership, deep technical acumen in AI/ML, and experience with government or regulated clients, ensuring deployments are secure, reliable and production-ready.

Qualifications

• Proven leadership of technical delivery teams across AI deployments.
• Experience with government or regulated clients.
• Strong stakeholder and executive communication.
• Fluency in Arabic and English.
• End-to-end delivery from design to production go-live.
• Experience in on-premise, private cloud or restricted environments.

Responsibilities

• Lead a multidisciplinary forward-deployed organization across software, data science and AI.
• Own end-to-end AI delivery engagements from framing through production adoption.
• Partner with Sales to shape engagements and ensure smooth transition to delivery.
• Set standards for architecture, security and quality across deployments.
• Turn field learnings into reusable playbooks and platform improvements.

Skills

Leadership

Delivery management

Client-facing

AI/ML

Stakeholder mgmt

Systems architecture

Education

Bachelor's in CS/Engineering

Master's a plus

Tools

RAG pipelines

LLM platforms

Security frameworks

Job description

Mozn is seeking a VP of Forward Deployed Engineering to build and lead a multidisciplinary team delivering AI solutions inside client organizations in Saudi Arabia. You will own delivery outcomes, supervise engineers and data scientists, and turn field learnings into repeatable playbooks and platform improvements.

The role demands leadership, deep technical acumen in AI/ML, and experience with government or regulated clients, ensuring deployments are secure, reliable and production-ready.