AI-First Capacity Modeling Engineer (Hybrid)

Verizon; Irving (TX); Hybrid; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a Forward Deployed Engineer for AI-first, agentic modeling to support 3-year capital budgeting and capacity planning. The role emphasizes autonomy to design, improve, and deploy AI-driven simulations in collaboration with business partners.

The position requires 4+ years of experience, proficiency in Python/SQL, and familiarity with AI workflows. It is a hybrid role with opportunities to drive innovation in network capacity management.

Qualifications

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

Responsibilities

• Working with stakeholders to develop AI, agent-based modeling, and algorithmic modeling for network elements and processes to support the 3-year capital budget.
• Planning and executing the design of the new capacity model, obtaining general agreement from NCS and the business team.
• Operating the model across multiple checkpoints in a year, creating a hardened deployment, documentation, and plans for future automation of the process.
• Planning future upgrades to the model with alternate types of algorithms, AI science or additional input features.
• Actively leveraging and piloting AI tools — including agentic workflows, LLM-assisted coding, and automated documentation/reporting — to accelerate model development, scenario testing, and stakeholder deliverables.
• Protecting invented Verizon Intellectual Property by pursuing patents when appropriate.

Skills

Python

SQL

Agentic AI workflows

AI modeling

Communication to technical audiences

Education

Bachelor's degree

4+ years of work experience

Tools

Python (as a tool)

SQL

Alteryx

Knime

LangChain

AutoGen

Job description

Verizon is seeking a Forward Deployed Engineer for AI-first, agentic modeling to support 3-year capital budgeting and capacity planning. The role emphasizes autonomy to design, improve, and deploy AI-driven simulations in collaboration with business partners.

The position requires 4+ years of experience, proficiency in Python/SQL, and familiarity with AI workflows. It is a hybrid role with opportunities to drive innovation in network capacity management.