Master-Works

AITechnicalLead

Riyadh, Riyadh Province, Saudi Arabia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Technical Lead at Master-Works. Skills: AI technical leadership, AI solution architecture, AI patterns, enterprise-grade AI projects, AI platforms, solution architecture. Provide end-to-end AI technical leadership and solution architecture ownership across AI Projects. Ensure sound architectural decisions, correct application of AI patterns, and delivery-ready designs”

What You'll Achieve.

reducing technical dependency on Project Managers; strengthening execution alignment across delivery teams; delivery-ready designs; scalable, secure, cost-effective, and aligned with enterprise and client standards; quality, consistency, and architectural compliance

Industry & Context.

Eligibility Requirements

Arabic speaker

What They're Looking For.

Must Have

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, AI / ML certification from Azure, AWS, or GCP, Arabic speaker with spoken and written English

Nice to Have

Immediate joining

What You'll Do.

Provide end-to-end AI technical leadership and solution architecture ownership across AI Projects

Ensure sound architectural decisions

correct application of AI patterns

and delivery-ready designs

Own and lead AI solution architecture across projects

from concept design through deployment and operational readiness

Define and review end-to-end solution architectures

and security considerations

Ensure architectural decisions are scalable

and aligned with enterprise and client standards

Ensure the correct selection and implementation of AI patterns

Evaluate trade-offs between model types

and deployment approaches

Drive technical alignment across AI teams

and infrastructure teams

Ensure code readiness

and integration planning across environments

Review technical deliverables to ensure quality

and architectural compliance

How You'll Work.

Team & Collaboration

strengthening execution alignment across delivery teams; Support Project Managers and Delivery Managers; Act as the technical reference point to unblock delivery and reduce escalation cycles; Drive technical alignment across AI teams, platform teams, and infrastructure teams; Participate in client discussions where architectural clarity or technical assurance is required

Communication Scope

Translate complex technical decisions into clear, structured communication for non-technical stakeholders; Participate in client discussions

Process & Methodology

Technical estimations and feasibility assessments, Identification of technical risks, dependencies, and constraints, Delivery sequencing and technical milestone definition

Full Job Description

### 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 Responsibilities **Architecture & Technical Leadership** * Own 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 Selection** * Ensure the correct selection and implementation of **AI patterns** , including: * Computer Vision (CV) * Natural Language Processing (NLP) * Advanced Analytics * Large Language Models (LLMs) * Evaluate trade-offs between model types, architectures, and deployment approaches (cloud, on-prem, edge). **Delivery & PM Enablement** * Support Project Managers and Delivery Managers with: * Technical estimations and feasibility assessments * Identification of technical risks, dependencies, and constraints * Delivery sequencing and technical milestone definition * Act as the technical reference point to unblock delivery and reduce escalation cycles. **Platform, Integration & Readiness** * Drive 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 Communication** * Translate complex technical decisions into clear, structured communication for **non-technical stakeholders**. * Participate in clien

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