About the Role
This position offers an exciting opportunity to lead the AI Technology & Data initiatives within a well-established retail group in Saudi Arabia. The successful candidate will be instrumental in driving the technical vision, shaping the architecture, and setting data foundations across the organization’s AI portfolio. This role requires not just strategic oversight but also hands-on involvement in solution design, integration, data architecture, and managing complex technical challenges.
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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.
Benefits
- Competitive Salary + Benefits Package
