AVP, Autonomous Network Automation & AI Platform

Verizon

Basking Ridge (NJ)

Hybrid

USD 192,000 - 367,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Tuition assistance
Parental leave

Job summary

Verizon seeks an Associate Vice President to own the run layer of a national 5G network automation platform. Lead a distributed engineering organization delivering self-healing, energy‑aware, cloud‑native infrastructure and AIML-driven optimization. Drive autonomy from Plan to Run while partnering with TM Forum and O-RAN efforts.

This hybrid role requires deep telecom software engineering leadership and a track record of delivering CNF/VNF at scale.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field or 4+ years of equivalent work experience.
  • 10+ years in large-scale network or software engineering with 5+ years in leadership roles.
  • Proven delivery of CNF/VNF, NFV, or SDN at carrier or hyperscale environments.
  • Hands-on depth in network automation, orchestration, and closed-loop assurance.
  • Experience applying AI/ML to infrastructure for optimization and autonomous operations.
  • Knowledge of 5G Core, virtualization, O-RAN, edge, and multi-cloud or on-prem AI infra.

Responsibilities

  • Own run layer automation and AI for self-optimizing network operations.
  • Lead distributed engineering org spanning cloud-native, SRE, and MLOps teams.
  • Drive Level 4 autonomy with zero-touch success, MTTR reductions, and energy savings.
  • Represent Verizon with industry bodies and technology partners.

Skills

Network automation
AI/ML for infra
Cloud-native
5G Core

Education

Bachelor's degree in Engineering
Master's degree preferred

Tools

Kubernetes
GitOps
On-prem AI infra

Job description

Verizon seeks an Associate Vice President to own the run layer of a national 5G network automation platform. Lead a distributed engineering organization delivering self-healing, energy‑aware, cloud‑native infrastructure and AIML-driven optimization. Drive autonomy from Plan to Run while partnering with TM Forum and O-RAN efforts.

This hybrid role requires deep telecom software engineering leadership and a track record of delivering CNF/VNF at scale.

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