AI Infrastructure Specialist - Enterprise Systems

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.
• Prepare technical inputs for MIS, management reports and progress updates.
• Represent the organization in relevant technology forums and professional discussions when required.

Ideal Profile

• Bachelor 's degree in Engineering, Computer Science or a related technical discipline.
• Minimum 10 years of experience in AI infrastructure development and management.
• At least 5 years of experience in a specialist-level AI infrastructure role.
• Strong understanding of artificial intelligence infrastructure architecture and enterprise technology environments.
• Demonstrated experience designing and operating scalable AI systems.
• Ability to evaluate infrastructure performance and implement technical optimization strategies.
• Experience integrating AI platforms with existing enterprise applications and technology ecosystems.
• Strong understanding of infrastructure reliability, scalability and operational efficiency.
• Experience working with external technology vendors, solution providers and implementation partners.
• Ability to translate business objectives into infrastructure strategies and technical requirements.
• Strong technical documentation and architecture communication skills.
• Experience mentoring engineers and developing technical capability within teams.
• Able to lead complex technical initiatives involving several internal and external stakeholders.
• Strong awareness of emerging artificial intelligence technologies and infrastructure trends.

Skills Set

• AI infrastructure
• Artificial intelligence systems
• Enterprise AI architecture
• Machine learning infrastructure
• AI platform engineering
• Infrastructure scalability
• Systems integration
• AI workload management
• Infrastructure optimization
• System reliability
• Enterprise systems
• Technical architecture
• AI technology evaluation
• Infrastructure monitoring
• Performance optimization
• Platform integration
• AI systems management
• Capacity planning
• Technical standards
• Architecture documentation
• Vendor management
• Technology assessment
• Infrastructure strategy
• Technical leadership
• Team mentoring
• Knowledge sharing
• Stakeholder coordination
• Budget planning
• Performance management
• Continuous improvement
• Technical reporting
• Enterprise technology governance

Why Join Us

This position offers experienced AI infrastructure professionals the opportunity to shape advanced technology capabilities within one of the region 's largest Oil and Energy organizations. The role combines architecture, platform engineering, technology evaluation and technical leadership, providing direct influence over how enterprise AI systems are designed and scaled. It also offers long-term relevance as AI infrastructure becomes increasingly important for automation, operational intelligence and data-driven decision-making across complex energy operations.

About the Company

ADNOC Group is a leading energy organization in the United Arab Emirates with operations spanning upstream, downstream and industrial activities. The company continues to invest in advanced digital technologies, artificial intelligence and data-driven systems to improve operational performance, strengthen decision-making and support the future development of the UAE 's energy sector.