AI Technology & Data Lead

Zohorecruit; Saudi Arabia; On-site; SAR 300,000 - 600,000; Full time

Job summary

Black & Grey HR is recruiting for a senior AI Technology & Data Lead in Saudi Arabia to drive technical vision and engineering standards across the AI portfolio. You will lead design, integration, data architecture, and hands-on solution delivery across AI, data platforms, and enterprise systems.

The role requires 8+ years in technology, strong Python/SQL, and experience with cloud, MLOps, and API-driven architectures, preferably in retail or e-commerce domains.

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering, AI, or related field.

Responsibilities

• Define AI, data, and automation architecture roadmaps.
• Translate requirements into scalable architectures and delivery plans.
• Set engineering standards for APIs, data pipelines, cloud services, security, testing, and deployment.
• Mentor engineers and delivery teams on AI, data, cloud, and MLOps practices.
• Collaborate with business, IT, security, and enterprise stakeholders on technical decisions.

Skills

Python

SQL

Cloud platforms

Docker/Kubernetes

CI/CD

Infrastructure as Code

MLOps

API design

Data modeling

Architectural design

Education

Bachelor's or Master's in CS/Software/Data AI

Tools

AWS

ERP integrations

Job description

Al Khobar, Saudi Arabia

Black & Grey HR is recruiting for a well-established retail group in Saudi Arabia looking to hire a skilled AI Technology & Data Lead. The role will drive the technical vision, architecture, data foundation, and engineering standards across the organization's AI portfolio, with hands-on involvement in solution design, integration, data architecture, and complex technical problem-solving.

Key Responsibilities

Technology & Solution Architecture

• Define the technical roadmap and architecture for AI, data, and intelligent automation initiatives.
• Translate business requirements into scalable technical architectures, integration solutions, and delivery plans.
• Establish engineering standards and reusable architectures for APIs, data pipelines, cloud services, AI/ML solutions, security, testing, and deployment.
• Review solution designs, code quality, infrastructure decisions, and production-readiness requirements.

Data & AI Enablement

• Define data architecture covering ingestion, transformation, storage, data modelling, governance, quality, and access.
• Enable enterprise data for AI/ML, GenAI, forecasting, recommendation, optimization, and automation use cases.
• Guide integration of AI solutions with enterprise platforms including ERP, data platforms, e-commerce, CRM, loyalty, and operational systems.

Technical Delivery & Operations

• Provide technical leadership across the complete AI lifecycle from discovery and design through deployment and ongoing operations.
• Act as the senior technical escalation point for architecture, integration, cloud, data, performance, and production issues.
• Work with technology vendors and implementation partners to review technical designs, estimates, dependencies, and delivery quality.
• Drive requirements for monitoring, observability, documentation, technical handover, and production support.

Technical Leadership

• Mentor engineers, data professionals, and delivery teams on AI, data, cloud, software engineering, architecture, and MLOps practices.
• Collaborate with business, IT, security, enterprise architecture, and senior stakeholders to ensure effective technical decision-making.
• Identify technical debt, architectural risks, and opportunities for standardisation and reuse across the AI portfolio.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, AI, or a related technical discipline.
• 8+ years of relevant technology experience, including 3+ years in technical leadership, architecture, or engineering leadership.
• Strong hands-on experience across AI/ML engineering, data engineering, software architecture, APIs, cloud, and enterprise integration.
• Proven experience designing and productionizing AI/ML or GenAI solutions in enterprise environments.
• Strong proficiency in Python and SQL with the ability to review and contribute to technical solutions.
• Strong understanding of data platforms, data modelling, ETL/ELT, data governance, and data quality.
• Experience with cloud platforms; AWS is preferred.
• Experience with Docker/Kubernetes, CI/CD, Infrastructure-as-Code, monitoring, DevOps/MLOps, and security practices.
• Strong understanding of system design, APIs, microservices, event-driven architecture, and enterprise integration.
• Proven experience working across multiple technical teams, vendors, and business stakeholders.
• Experience in retail, grocery, e-commerce, supply chain, pricing, personalization, or customer analytics is an advantage.
• Relevant AI, cloud, data, or architecture certifications are an advantage.