AI-Driven Network Capacity Engineer

Verizon; Charlotte (NC); Hybrid; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a Forward Deployed Engineer to lead AI-first and agentic modeling for network capacity planning and multi-year capital budgets. You will design, deploy, and advance capacity simulations, partnering with business teams to ensure accurate forecasts for large-scale investments.

Expect high autonomy, experimentation with AI workflows, and cross-functional collaboration. You will work in a hybrid setting, balance innovation with execution, and present findings to leadership and

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience demonstrated through work, military, or training.
• Intermediate proficiency in Python (or R) and SQL with a portfolio of projects.

Responsibilities

• Develop AI, agent-based and algorithmic modeling for network capacity and 3-year capital budget.
• Plan and execute the design of the new capacity model and gain agreement with NCS and the business team.
• Operate the model across multiple checkpoints; create deployment, docs, and future automation plans.
• Pilot AI tools to accelerate model development and scenario testing; support reporting to stakeholders.

Skills

Python

SQL

Alteryx

Knime

LLM workflows

LangChain

AutoGen

GPT-based agents

Education

Bachelor's degree or 4+ years

Tools

Python

R

Job description

Verizon is seeking a Forward Deployed Engineer to lead AI-first and agentic modeling for network capacity planning and multi-year capital budgets. You will design, deploy, and advance capacity simulations, partnering with business teams to ensure accurate forecasts for large-scale investments.

Expect high autonomy, experimentation with AI workflows, and cross-functional collaboration. You will work in a hybrid setting, balance innovation with execution, and present findings to leadership and