Head of AI Engineering for Autonomous Network Systems

Jobtailor; New Jersey; On-site; USD 180,000 - 260,000; Full time

Job summary

Verizon is seeking an experienced AI Engineering Lead to shape the strategy for autonomous networks and drive platform architectures across Level 4 deployments. You will guide AI and data teams, embedding GenAI into workflows to deliver predictive platforms and real-time decision engines.

The role requires extensive AI/ML and software architecture expertise, with a focus on operationalizing large-scale telecommunication systems and multi-vendor environments.

Qualifications

• Bachelor’s degree or four+ years of work experience.
• 8+ years of relevant AI/ML, software architecture, and production deployment experience.
• Experience with anomaly detection, time-series forecasting, or fault classification on high-volume data.
• Experience building real-time AI systems and Next Best Action engines.
• Strong Python, FastAPI, SQL, Kafka, Spark, microservices, and RESTful APIs production coding.
• Experience with GCP, BigQuery, and streaming data architectures.
• Telecommunications network operations expertise (RAN/Core/Transport) preferred.

Responsibilities

• Define and drive AI engineering, platform, and architecture strategy for autonomous networks.
• Lead AI and data engineering teams to build agentic AI systems and real-time decision engines.
• Embed GenAI capabilities into software and prompt engineering workflows.
• Improve network health signals by reducing alarm noise and non-actionable tickets.
• Deliver automated diagnostic and resolution workflows to reduce MTTR.
• Engineer autonomous network configuration management and self-healing actions across multi-vendor environments.
• Define and execute deployment strategy across the autonomous network lifecycle.
• Build anomaly detection pipelines and causal root cause analysis with closed-loop remediation.

Skills

AI/ML Engineering

Software Architecture

Production Deployment

Anomaly Detection

Time-Series Forecasting

Root Cause Analysis

Multi-Dimensional Feature Engineering

Python

FastAPI

SQL

Kafka

Spark

GCP

BigQuery

RESTful APIs

GenAI/LLM tools

Claude Code

Agentic AI Systems

Education

Bachelor's Degree

Master's Degree or PhD (Preferred)

Tools

GCP

BigQuery

Kafka

Spark

RESTful APIs

Python

FastAPI

SQL

Job description

Verizon is seeking an experienced AI Engineering Lead to shape the strategy for autonomous networks and drive platform architectures across Level 4 deployments. You will guide AI and data teams, embedding GenAI into workflows to deliver predictive platforms and real-time decision engines.

The role requires extensive AI/ML and software architecture expertise, with a focus on operationalizing large-scale telecommunication systems and multi-vendor environments.