AI-First Network Capacity Architect

Cellco Partnership; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Verizon is seeking a Forward Deployed Engineer to lead AI-first modeling for network capacity planning and capital budgeting. You will develop agent-based and algorithmic models, automate data workflows, and collaborate with business partners to ensure accurate capacity plans for multi-year investments.

The role emphasizes independence, advanced analytics, and innovation in modeling techniques, with opportunities to advance automation and AI-driven insights across the Verizon Network.

Qualifications

• A passion for creativity, AI, innovation and independent software design.
• Bachelor's degree or four+ years of work experience, or specialized training.
• Proficiency in Python and SQL with demonstrable projects; experience with AI tooling.

Responsibilities

• Develop AI-first and agent-based modeling for network capacity questions.
• Design and implement capacity models and supporting automation.
• Collaborate with stakeholders to plan multi-year capital budgets.
• Pilot AI tools and document workflows to accelerate model development.

Skills

Python

SQL

Alteryx

Knime

Agentic AI workflows

Education

Bachelor's degree or four+ years of work experience

Tools

Alteryx

Knime

Job description

Verizon is seeking a Forward Deployed Engineer to lead AI-first modeling for network capacity planning and capital budgeting. You will develop agent-based and algorithmic models, automate data workflows, and collaborate with business partners to ensure accurate capacity plans for multi-year investments.

The role emphasizes independence, advanced analytics, and innovation in modeling techniques, with opportunities to advance automation and AI-driven insights across the Verizon Network.