Network Data & AI Lead Architect

They are characterized by the following knowledge and skills:

• 10+ years of experience in AI, data architecture, and telecommunications
• Proven expertise in the development of AI-driven solutions, especially for telecommunications networks. Strong leadership and team management skills with experience in leading solution teams
• Experience working with executives, especially CTIOs. In-depth knowledge of AI, machine learning, BI, big data technologies, data management, data mesh, data modeling techniques, and their applications in the network space. Proven experience building and leading solution architecture teams in various fields addressing data and AI business needs in network operations domains (RAN, Core, Transportation, etc.)
• Deep understanding of the architecture of telecommunications networks (e.g., 5G, SDN, NFV, IMS) and OSS/BSS systems.
• Knowledge of cloud-native architecture, containerization, and edge computing technologies for telecom applications.
• 10+ years of experience in dealing with partners and vendor solutions. Proven experience in application management and network operations. Strong strategic thinking, communication, and innovation-driven mindset Monitor external developments in science, research and analytics, vendors, start-ups, competitors, and standards development organizations (SDOs) to ensure the integration of cutting-edge technologies and best practices