AI Technical Lead - Arabic speaker

Provide end-to-end AI technical leadership and solution architecture ownership across AI Projects. The role ensures sound architectural decisions, correct application of AI patterns, and delivery-ready designs, while reducing technical dependency on Project Managers and strengthening execution alignment across delivery teams.Key ResponsibilitiesArchitecture & Technical LeadershipOwn and lead AI solution architecture across projects, from concept design through deployment and operational readiness.Define and review end-to-end solution architectures, including AI models, data pipelines, platforms, integrations, infrastructure, and security considerations.Ensure architectural decisions are scalable, secure, cost-effective, and aligned with enterprise and client standards.AI Pattern & Technology SelectionEnsure the correct selection and implementation of AI patterns, including:Computer Vision (CV)Natural Language Processing (NLP)Advanced AnalyticsLarge Language Models (LLMs)Evaluate trade-offs between model types, architectures, and deployment approaches (cloud, on-prem, edge).Delivery & PM EnablementSupport Project Managers and Delivery Managers with:Technical estimations and feasibility assessmentsIdentification of technical risks, dependencies, and constraintsDelivery sequencing and technical milestone definitionAct as the technical reference point to unblock delivery and reduce escalation cycles.Platform, Integration & ReadinessDrive technical alignment across AI teams, platform teams, and infrastructure teams.Ensure code readiness, release readiness, and integration planning across environments (Dev, SIT, UAT, Prod).Review technical deliverables to ensure quality, consistency, and architectural compliance.Stakeholder CommunicationTranslate complex technical decisions into clear, structured communication for non-technical stakeholders.Participate in client discussions where architectural clarity or technical assurance is required.Qualifications & Requirements· Strong hands‑on background in delivering enterprise‑grade AI projects and AI platforms.· Proven experience in solution architecture, including AI systems, data architectures, and system integrations.· Solid understanding of AI lifecycle, model deployment, monitoring, and operational considerations.· Ability to balance technical depth with delivery practicality.Required CertificationsAI / ML certification from Azure, AWS, or GCP (mandatory or strong requirement).Arabic speaker with strong spoken and written English.· Immediate joining preferred.#J-18808-Ljbffr