AI-Driven Network Capacity Engineer (Hybrid)

Verizon; Basking Ridge (NJ); Hybrid; USD 101,000 - 194,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Paid time off

Hybrid work arrangement

Job summary

Verizon seeks a Forward Deployed Engineer to lead AI-first modeling for network capacity planning within the Transformation Command Center. You will design, implement, and optimize agent-based and statistical models to inform multi-year capital investments.

In this hybrid role, you’ll collaborate with business partners, present to leaders, and explore cutting-edge AI tooling to accelerate simulations while protecting Verizon IP. Minimum 40 hours/week with in-office days.

Qualifications

• Bachelor’s degree or 4+ years of work experience.
• 4+ years of relevant experience required.
• Proficiency in Python (or R) and SQL.
• Experience building or integrating agentic AI workflows.
• Experience with cloud platforms (GCP or AWS).
• Data engineering experience and time-series analytics.
• Strong communication across technical and non-technical audiences.

Responsibilities

• Lead AI-first and agentic modeling projects for network capacity planning.
• Develop and deploy capacity models across budgeting cycles.
• Pilot AI tools and automate documentation and reporting.
• Collaborate with business partners and stakeholders.
• Present findings to leaders and engineers.
• Protect Verizon IP and pursue patents when appropriate.

Skills

Python

SQL

Agentic AI workflows

LLM tools

Data modeling

Communication

Education

Bachelor’s degree or 4+ years experience

Tools

Alteryx

Knime

LangChain

AutoGen

Claude/GPT agents

Job description

Verizon seeks a Forward Deployed Engineer to lead AI-first modeling for network capacity planning within the Transformation Command Center. You will design, implement, and optimize agent-based and statistical models to inform multi-year capital investments.

In this hybrid role, you’ll collaborate with business partners, present to leaders, and explore cutting-edge AI tooling to accelerate simulations while protecting Verizon IP. Minimum 40 hours/week with in-office days.