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AVP — Network Automation & Infrastructure AI

Verizon


Job Location:

Basking Ridge, NJ - USA

Monthly Salary: $ 191500 - 367000
Posted: 26 August 2026 (Yesterday)
Application Deadline: 23 November 2026
Vacancies: 1 Vacancy

Job Summary

When you join Verizon

You want more out of a career. A place to share your ideas freely even if theyre 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 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.

What youll be doing

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 builders role for a leader who wants to work at the frontier of cloud-native networking and applied AI backed by the scale of Verizon.

Key responsibilities:

Obsessed with the customer

  • Tie automation to experience. Turn reliability and customer-experience targets into closed-loop operations that detect diagnose and resolve issues before customers feel them the foundation of a self-healing network.

  • Own the execution of intent. Partner with the network intelligence organization: take the RAN and cross-domain intent they generate and act on it through automated policy-governed change on the live network.

Build with speed

  • Automate the virtualized network. Own zero-touch lifecycle upgrade scaling and healing for virtualized RAN (L2/L3) and 5G Core network functions across a multi-vendor cloud-native environment.

  • Make the infrastructure AI-native. Lead AI/ML-driven optimization of compute and energy dynamic power management across vCPU and radio resources workload placement and capacity so the network optimizes itself.

  • Own and scale the platform. Run the orchestration closed-loop assurance and on-premises AI inference platform that already delivers hundreds of thousands of virtualized RAN upgrades and millions of automated actions each year and take it to the next level.

  • Set the reference architecture. Define the agentic operating model policy-as-code guardrails and safe-autonomy standards for the run layer across domains and vendors.

Drive excellence

  • Build and lead the team. Grow and lead a distributed engineering organization spanning cloud-native and SRE MLOps and network automation with multiple director-level leaders.

  • Own the autonomy roadmap. Drive toward Level 4 against hard metrics: zero-touch success rate mean-time-to-resolve automation coverage and energy savings.

  • Represent Verizon externally. Engage industry and standards bodies (TM Forum O-RAN 3GPP) and technology and hyper scaler partners.

  • Keep autonomy safe. Ensure the security resilience and regulatory compliance of automated action on the production network.

What were looking for

Required:-

  • Bachelors 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.

Preferred:-

  • Masters 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.

Where youll be working
In this hybrid role youll have a defined work location that includes working from home and a minimum of three days per week in the office which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours
40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From health and wellness benefit options including: medical dental vision short and long term disability basic life insurance supplemental life insurance AD&D insurance identity theft protection pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan up to 8 company paid holidays per year and up to 6 personal days per year paid parental leave adoption assistance and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $191500.00 - $367000.00.


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