AI Infrastructure Specialist

AI Infrastructure Specialist - Enterprise Systems Job Snapshot Role: AI Infrastructure Specialist - Enterprise Systems Location: Abu Dhabi Emirate, United Arab Emirates Industry: Oil and Energy Function: Information Technology Experience: Minimum 10 years Job Type: Full-time Role Overview AI Infrastructure Specialist - Enterprise Systems in Abu Dhabi Emirate, United Arab Emirates is a senior Oil and Energy opportunity focused on designing, scaling and optimizing artificial intelligence infrastructure that supports enterprise operations and strategic decision-making. ADNOC Group is hiring an experienced AI infrastructure professional to lead advanced platform development, integrate AI technologies with existing systems, improve performance and reliability, and guide technical teams in delivering secure and scalable AI capabilities. Job Details Country: United Arab Emirates City: Abu Dhabi Emirate Industry: Oil and Energy Function: Information Technology Salary: 30000-45000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time Role Context The AI Infrastructure Specialist provides technical leadership for the platforms, systems and architecture required to deploy artificial intelligence solutions at enterprise scale. The role connects AI engineering requirements with infrastructure strategy, operational systems and business priorities while ensuring that platforms remain reliable, efficient and capable of supporting future growth. By improving system performance, introducing new technologies and strengthening integration practices, the specialist helps expand the organization 's ability to use AI for operational improvement and data-driven decision-making. Key Responsibilities - Lead the architecture, development and implementation of enterprise AI infrastructure solutions. - Design scalable platforms capable of supporting demanding artificial intelligence and machine learning workloads. - Optimize infrastructure performance, reliability and resource utilization across AI environments. - Evaluate existing systems and identify opportunities where AI infrastructure can improve operational effectiveness. - Coordinate with engineering, technology and business teams to integrate AI capabilities into established platforms and processes. - Translate business requirements into practical infrastructure designs and technical implementation plans. - Conduct detailed assessments of AI platforms, workflows and infrastructure performance. - Identify capacity, scalability or reliability constraints and implement appropriate technical improvements. - Establish technical practices that support stable deployment and operation of AI systems. - Ensure AI infrastructure complies with applicable industry standards, internal controls and recognized best practices. - Develop and maintain architecture documentation, system procedures, operating protocols and technical standards. - Monitor infrastructure performance and use operational data to identify opportunities for further optimization. - Evaluate emerging AI technologies and determine their suitability for enterprise adoption. - Introduce new tools, architectures and techniques that improve infrastructure efficiency and technical capability. - Coordinate with external technology vendors and partners during evaluation, integration and implementation activities. - Support technology selection by assessing performance, compatibility, scalability and operational requirements. - Maintain strategic relationships with external partners involved in AI infrastructure initiatives. - Work with stakeholders to ensure AI infrastructure programs remain aligned with organizational objectives. - Provide senior management with clear updates on infrastructure initiatives, performance and emerging technical requirements. - Mentor junior engineers and specialists in AI infrastructure technologies and operational practices. - Conduct knowledge-sharing activities and technical training to strengthen internal capabilities. - Plan and coordinate activities within the assigned technical area to meet functional objectives. - Contribute technical input to budget planning and support effective control of approved expenditure. - Implement applicable policies, processes, technical standards and operating procedures. - Identify opportunities for continuous improvement using recognized industry practices. - Support performance objectives through measurable improvements in AI infrastructure reliability and efficiency. - Comply with applicable HSE, sustainability and organizational requirements

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