Cloud Ops AI Expert
- السعودية
- عقد
- دوام كامل
- Leads the development and implementation of an AIOps framework for private cloud infrastructure, integrating AI-powered observability and automation.
- Defines AIOps use cases and calculates business value realization to align with strategic goals.
- Develops and maintains a comprehensive AI adoption roadmap for cloud-native Telco/IT infrastructure.
- Manages deployment and integration of AIOps tools (e.g., monitoring systems, service assurance platforms) with existing infrastructure.
- Collaborates with cross-functional teams to build closed-loop automation and self-healing capabilities for L1/L2 tasks.
- Designs, tests, and programs automation equipment and processes to enhance operational efficiency.
- Ensures AI governance, model explainability, and effective use of AI in network operations.
- Supervises automation processes to maintain performance and quality standards.
- Identifies and resolves quality issues and defects in AIOps and automation solutions, writing detailed reports.
- Monitors advancements in AIOps and cloud technologies (e.g., AWS, Azure, Google Cloud) to maintain a state-of-the-art implementation.
- Minimum 10 years of experience in cloud-native operations or telecom network automation, including 3 years in AI Ops or cloud automation roles.
- Bachelor's or master's degree in computer science, Data Science, or a related field from a reputed university.
- Techno-functional role requiring expertise in AIOps, machine learning engineering, and applied AI for IT/network operations (e.g., observability, automation, service assurance).
- Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for Telco workloads.
- Strong AI Ops and cloud automation skills, including AI/ML pipeline development, automation scripting (e.g., Python, Ansible), observability design, and incident management automation.
- Ability to lead technical and functional aspects of AI Ops initiatives, balancing AI/ML expertise with process automation and cross-functional collaboration.
- Excellent communication (written, oral, listening), leadership, negotiation, presentation, coaching, and mentoring skills.
- Industry-recognized certifications in AIOps, cloud, or AI technologies (e.g., AWS Certified Machine Learning, Google Cloud Professional Machine Learning Engineer, ITIL) are desirable.
- Strong command of both English and Arabic languages (both written and spoken).