Senior Specialist, AI Infrastructure

Responsible for leading the development, implementation, and optimization of advanced AI infrastructure solutions to support the organization's strategic objectives. Ensures the scalability, reliability, and efficiency of AI systems while driving innovation and continuous improvement. Collaborate with cross-functional teams to integrate AI technologies seamlessly into existing systems and processes, ensuring alignment with business goals. Has a deep understanding of AI technologies, infrastructure management, and strategic planning to deliver high-quality solutions that enhance operational performance and decision-making capabilities. Play a key role in mentoring junior team members and fostering a culture of innovation and excellence within the organization. KEY ACCOUNTABILITIES: Job Specific: \u2022 Lead the design, development, and implementation of AI infrastructure solutions to support organizational goals. \u2022 Develop and optimize scalable and reliable AI systems to enhance operational efficiency and decisionmaking. \u2022 Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes. \u2022 Conduct in-depth analyses to identify opportunities for AI-driven improvements and innovations. \u2022 Ensure compliance with industry standards and best practices in AI infrastructure management. \u2022 Develop and maintain documentation for AI systems, including architecture, processes, and protocols. \u2022 Monitor and evaluate the performance of AI systems, implementing improvements as needed. \u2022 Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and excellence. \u2022 Stay updated on emerging AI technologies and trends to ensure the organization remains at the forefront of innovation. JOB DESCRIPTION \u2022 Collaborate with stakeholders to align AI infrastructure initiatives with business objectives and strategic goals. \u2022 Plan, supervise and coordinate all activities in the assigned area to meet functional objectives. \u2022 Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver the respective business objectives. Budgets \u2022 Provide input for preparation of the Function / Division / Department / Section budgets, assist in the implementation of the approved Budget, and work plans to deliver business objectives. \u2022 Investigate and highlight any significant variances to support effective performance and cost control. \u2022 Implement approved Function/ Division/ Department/ Section policies, processes, systems, standards and procedures in order to support execution of the work programs in line with Company and International standards. \u2022 Contribute to the achievement of the approved Performance Objectives for the Function/ Division / Department/ Section in line with the Company Performance framework. \u2022 Design and implement new tools and techniques to improve the quality and efficiency of operational processes. \u2022 Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with best industry standards in order to define intelligent solutions for issues confronting the function. Health, Safety, Environment (HSE) and Sustainability \u2022 Comply with relevant HSE policies, procedures, controls, applicable legislation, and sustainability guidelines in line with international standards, best practices and ADNOC Code of Practices. Reports \u2022 Provide inputs to prepare MIS and progress reports for Company Management. COMMUNICATION & WORKING RELATIONSHIP: Internal: \u2022 Collaborate with cross-functional teams to ensure seamless integration of AI technologies. \u2022 Provide regular updates and reports to senior management on AI infrastructure initiatives. \u2022 Facilitate knowledge sharing and training sessions to enhance team capabilities. \u2022 Coordinate with internal stakeholders to align AI infrastructure projects with business objectives. \u2022 Participate in internal meetings to discuss progress, challenges, and opportunities. External: \u2022 Engage with external vendors and partners to evaluate and integrate AI technologies. \u2022 Represent the organization in industry forums and conferences to stay updated on emerging trends. \u2022 Collaborate with external stakeholders to ensure compliance with industry standards and regulations. \u2022 Build and maintain strategic relationships with external partners to support AI initiatives. \u2022 Communicate the organization's AI capabilities and achievements to external audiences. QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS: Minimum Qualification \u2022 Bachelor\u2019s degree in Engineering, Computer Science, or a related field. \u2022 10 years of experience in AI infrastructure development and management, with at least 5 years in a specialist role. Responsible for leading the development, implementation, and opt

Bachelor’s degree in Engineering, Computer Science, or a related field. 10 years of experience in AI infrastructure development and management, with at least 5 years in a specialist role.

Lead the design, development, and implementation of AI infrastructure solutions; develop and optimize scalable and reliable AI systems; collaborate with cross-functional teams to integrate AI technologies; conduct analyses to identify AI-driven improvements; ensure compliance with industry standards; maintain architecture and process documentation; monitor performance and implement improvements; provide technical leadership and mentorship to junior staff; stay updated on emerging AI technologies and trends; align AI infrastructure initiatives with business objectives; supervise activities in the assigned area; train staff; contribute to budgeting and cost control; implement policies and procedures; contribute to achievement of performance objectives; design and implement new tools to improve operational efficiency.