AVP – Network Automation, Infrastructure AI

Verizon

Verizon AVP leading autonomous 5G network automation and infrastructure AI. Scaling cloud-native orchestration, closed-loop assurance, and Level 4 network autonomy.

Posted 8/24/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesLead💰 $191,500 - $367,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading large-scale network engineering and automation initiatives, with a focus on achieving TM Forum Level 4 autonomy. Proficient in managing distributed engineering teams and driving cloud-native network functions while ensuring security and compliance.

Highest-signal resume keywords

Network AutomationCloud-Native Network FunctionsAI/ML Application in InfrastructureLeadership of Distributed Engineering Teams5G Core and O-RAN Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Network EngineeringAutomationOrchestrationClosed-Loop AssuranceAI/ML Optimization5G CoreVirtualized RANNFVSDNPolicy-as-Code

Soft Skills

Strategic CommunicationCultural Change Leadership

Tools & Technologies

KubernetesGitOpsSREOn-Premises AI InferenceMulti-Cloud Infrastructure

Certifications & Qualifications

Bachelor’s Degree in EngineeringMaster’s Degree in Computer Science or Electrical Engineering

Industry Keywords

TM ForumO-RAN3GPPHyperscaler PartnershipsEnergy Efficiency Programs

Tech Stack

Tools & technologies

AWSAzureCloudKubernetes

About the role

Key responsibilities & impact

Own the run layer of Verizon’s autonomous network across a national, multi-vendor 5G footprint
Lead the engineering organization and automation platform operating at national scale
Advance Verizon from human-led operations toward TM Forum Level 4 autonomy across Plan, Build, and Run
Turn reliability and customer-experience targets into closed-loop operations that detect, diagnose, and resolve issues before customers feel them
Act on RAN and cross-domain intent through automated, policy-governed changes on the live network
Own zero-touch lifecycle, upgrades, scaling, and healing for virtualized RAN (L2/L3) and 5G Core network functions
Lead AI/ML-driven optimization of compute and energy, including dynamic power management, workload placement, and capacity
Run and scale orchestration, closed-loop assurance, and the on-premises AI inference platform
Define the agentic operating model, policy-as-code guardrails, and safe-autonomy standards across domains and vendors
Grow and lead a distributed engineering organization spanning cloud-native and SRE, MLOps, and network automation, with multiple director-level leaders
Drive the autonomy roadmap toward Level 4 using zero-touch success rate, mean-time-to-resolve, automation coverage, and energy savings metrics
Engage industry and standards bodies including TM Forum, O-RAN, and 3GPP, as well as technology and hyperscaler partners
Ensure security, resilience, and regulatory compliance of automated actions on the production network

Requirements

What you’ll need

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
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, including 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: Master’s degree in Computer Science, Electrical Engineering, or a related technical field
Preferred: Experience moving an operator toward TM Forum autonomous networks Level 4
Preferred: Production experience with agentic AI or LLM-based operations
Preferred: Cloud-native platform leadership, including Kubernetes, GitOps, SRE, and network energy-efficiency programs
Preferred: Experience with hyperscaler partnerships (Google Cloud, AWS, Azure) and on-premises AI inference at the edge
Ability to translate deep technical strategy for board-level stakeholders and lead cultural change across engineering

Benefits

Comp & perks

Medical, dental, and vision insurance
Short- and long-term disability insurance
Basic and supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
Matched 401(k) savings plan
Up to 8 company paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Other incentives
Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Award-winning total rewards package