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You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
Verizon is building one of the most advanced autonomous networks in the industry — self-healing, closed-loop, and increasingly agentic — across a national, multi-vendor 5G footprint.
We are looking for an Associate Vice President to own the run layer of that network: the automation and AI that turn virtualized RAN and 5G Core into self-optimizing, energy-aware, cloud-native infrastructure. You will lead the engineering organization and the automation platform that already operates at a national scale, and take Verizon from human-led operations toward TM Forum Level 4 autonomy across Plan, Build, and Run.
This is a builder’s role for a leader who wants to work at the frontier of cloud-native networking and applied AI — backed by the scale of Verizon.
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Bachelor’s degree in Engineering, Computer Science, or a related field, or four or more years of equivalent work experience.
Ten or more years in large-scale network or software engineering, including five or more years leading distributed, cross-functional technical organizations.
Proven delivery of cloud-native network functions (CNF/VNF), NFV, or SDN at carrier or hyperscale.
Hands-on depth in network automation, orchestration, and closed-loop assurance.
Experience applying AI/ML to infrastructure — anomaly detection, energy or resource optimization, or autonomous operations.
Working knowledge of 5G Core, virtualized and O-RAN, edge, and multi-cloud or on-premises AI infrastructure.
Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
Experience moving an operator toward TM Forum autonomous networks Level 4.
Production experience with agentic AI or LLM-based operations.
Cloud-native platform leadership — Kubernetes, GitOps, SRE — and network energy-efficiency programs.
Experience with hyper scaler partnerships (Google Cloud, AWS, Azure) and on-premises AI inference at the edge.
Ability to translate deep technical strategy for board-level stakeholders and to lead cultural change across engineering.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
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