Lead Digital Solutions Analyst - Data science (Saudi Arabia)

Your tasks

We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models.

• Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
• Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access.
• Build real-time data processing components using event-driven architecture.
• Apply microservices and agentic AI architectures to support scalability and flexible system development.
• Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage.
• Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models.
• Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.

Requirements

• Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position.
• Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field.
• Experience in AI solution development, data pipelines, or AI technology implementation.
• Knowledge of backend infrastructure, real-time data processing, and event-driven architectures.
• Familiarity with microservices, agentic AI architectures, and scalable AI applications.
• Understanding of data preprocessing, transformation, feature engineering, and data storage.
• Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage.
• Strong analytical, problem-solving, and collaboration skills.