Senior Geospatial AI Specialist

Senior Geospatial AI Specialist Grade: 6 Location: Riyadh, Saudi Arabia JOB PURPOSE BAE Systems is the UK Government’s nominated Prime Contractor under the Government-to-Government arrangements that are in place to provide equipment, support and training to Saudi Arabia. We provide maintenance of Royal Saudi Air Force (RSAF) aircraft and train RSAF and Royal Saudi Naval Force personnel safely in a training environment in how to use their aircraft, equipment and weapons. BAE Systems Saudi Arabia is committed to supporting the Saudi Arabian National Agenda including Saudisation and the training and development of Saudi National capability through the growth of the Saudi National Partner Companies thereby reinforcing Industrialisation and Partnerships. The Senior Geospatial AI Specialist leverages Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance geospatial applications. This role focuses on developing innovative AI-driven solutions to process, analyse, and interpret geospatial data, supporting the GDMS’s mission to provide advanced geospatial applications for national Defence & security operations and decision making. JOB ACCOUNTABILITIES - Develop and implement AI and ML models to automate geospatial data processing and analysis. - Research and integrate advanced AI techniques, such as computer vision and natural language processing, into geospatial workflows. - Collaborate with GIS teams to identify opportunities for AI-based innovation in geospatial applications. - Design and manage algorithms to extract meaningful insights from satellite imagery, vector data, and other geospatial datasets. - Ensure AI solutions comply with geospatial data standards and organisational requirements (e.g. NSG, ISO, NATO STANAG and OGC). - Maintain an understanding of emerging trends in AI, ML, and geospatial technologies to recommend and adopt new tools and approaches. - Provide training and mentorship to staff on AI technologies and their application in geospatial intelligence. - Work closely with stakeholders to align AI solutions with operational needs and mission objectives. - Support the transition of the organisation from the Current Operational Model (COM) to the Target Operational Model (TOM). RECRUITMENT SPECIFICATION - Master’s degree in Information Systems, Artificial Intelligence, Computer Science, or a related field. - Professional certification in AI/ML or data science (e.g. TensorFlow Developer, AWS AI/ML or similar) - Proven track record of developing and deploying AI models for geospatial data analysis. - Proficient in programming languages such as Python, R, or Java, with a focus on AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). - Extensive experience in GIS, or a related field, with a focus on AI/ML applications. - Familiarity with geospatial data standards (e.g. NSG, ISO, IHO, NATO STANAG, OGC). - Strong understanding of geospatial principles, tools and technologies, including GIS software and spatial databases. EXPATRIATE EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary, rent free accommodation and access to free recreation facilities, all available within Company secured accommodation. In addition, a generous leave and travel allowance makes this an opportunity not to be missed. On successfully securing a role your appointment to Saudi Arabia will initially be on single status. On commencement of employment in Saudi Arabia you will have the opportunity to apply to have your family join you in the future. A full health care scheme is provided within Saudi Arabia. SAUDI NATIONAL EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary and benefits package, including a generous leave and travel allowance, a full health care scheme and access to subsidised recreational facilities BAE Systems At BAE Systems, we provide some of the world’s most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of 89,600 people in more than 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure. All appointments in Saudi Arabia are subject to receipt of all necessary Government and/or Customer approvals.

Master’s degree in Information Systems, Artificial Intelligence, Computer Science, or a related field. Professional certification in AI/ML or data science (e.g. TensorFlow Developer, AWS AI/ML or similar). Proven track record of developing and deploying AI models for geospatial data analysis. Proficient in programming languages such as Python, R, or Java, with a focus on AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Extensive experience in GIS, or a related field, with a focus on AI/ML applications. Familiarity with geospatial data standards (e.g. NSG, ISO, IHO, NATO STANAG, OGC). Strong understanding of geospatial principles, tools and technologies, including GIS software and spatial databases.

Develop and implement AI and ML models to automate geospatial data processing and analysis. Research and integrate advanced AI techniques, such as computer vision and natural language processing, into geospatial workflows. Collaborate with GIS teams to identify opportunities for AI-based innovation in geospatial applications. Design and manage algorithms to extract meaningful insights from satellite imagery, vector data, and other geospatial datasets. Ensure AI solutions comply with geospatial data standards and organisational requirements (e.g. NSG, ISO, NATO STANAG and OGC). Maintain an understanding of emerging trends in AI, ML, and geospatial technologies to recommend and adopt new tools and approaches. Provide training and mentorship to staff on AI technologies and their application in geospatial intelligence. Work closely with stakeholders to align AI solutions with operational needs and mission objectives. Support the transition of the organisation from the Current Operational Model (COM) to the Target Operational Model (TOM).