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Network Automation & AI Engineer Intern - WaaS

Zayo Group
401(k)
United States, Colorado, Denver
Mar 29, 2026

Company Description

Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

External Field

About the Program:

The Zayo SummerInternshipProgram is designed to cultivate the next generation of telecommunications professionals.Internswill gain meaningful, hands-on experience within a dynamic, fast-paced, and innovative environment. Our goal is to empower, develop, and connect ourinternswhile fostering fresh perspectives and ideas that will drive our organization forward.

Program Details:

  • Start Date: June 1, 2026

  • Duration: 10 weeks

  • Location: Hybrid 2-3 days a week out of our Denver, CO office, frequency flexible

Position Description

Zayo is seeking a motivated and talented Network Automation & AI Engineer Intern to join our Waves on Demand (WoD) t eam. This internship provides a unique opportunity to gain hands-on experience at the intersection of optical engineering, software automation, and Artificial Intelligence. You will play a key role in building the "brain" behind Zayo's next-generation wavelength services, helping us move toward a zero-touch, highly efficient network.

Our Intern will work closely with experienced professionals on innovative projects aimed at optimizing network operations through AI-driven configuration and automation solutions. You will be directly involved in the evolution of our Hybrid Configuration models, helping to bridge the gap between legacy infrastructure and modern, software-defined optical networking.

Responsibilities

  • Assist in analyzing complex optical network data to identify opportunities for Waves on Demand (WoD) automation and optimization.

  • Work with the Networks & Technology team to extract and overlay diverse data sets (Ciena, Nokia, Infinera), identifying algorithms to automate Hybrid Configuration types.

  • Support the development of automation scripts and tools using Python to streamline the design and implementation of 100G/400G wavelength services.

  • Leverage AI engines, Machine Learning, and pattern recognition to assist in anomaly detection and predictive capacity exhaust modeling.

  • Contribute to the visualization of different network scenarios, applying cost-benefit analysis to various automation workflows.

  • Help document new automation processes and "Standard Operating Procedures" for the WAAS engineering team.

  • Participate in strategic team meetings and project discussions to gain insights into the future of Network-as-a-Service (NaaS) and optical innovation.

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Information Management, Data Analytics, Software Engineering, or a related technical field.

  • Basic understanding of networking concepts, with an interest in Optical Transport (DWDM) and API-driven orchestration.

  • Proficiency in Python (preferred) or Java.

  • Strong analytical and problem-solving skills with a "data-first" mindset.

  • Excellent communication skills and the ability to translate technical findings into clear insights.

  • Ability to work independently on research tasks and as part of a collaborative engineering team.

  • Eagerness to learn and contribute to high-visibility, innovative projects that shape the future of telecommunications.

Preferred Qualifications

  • Familiarity with or exposure to AI/ML frameworks for data analysis.

  • Knowledge of database technologies and SQL for querying complex network inventory.

  • Interest in UI/UX design for internal engineering dashboards and automation tools.

  • Previous coursework or projects involving Network Automation, SDN, or Cloud Infrastructure.

  • Enthusiasm for exploring "disruptive" technologies and new approaches to legacy network challenges.

Estimated base pay range for this role is $23.00 - $25.00 USD / hour

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs.

Additionally, this position may be eligible for certain benefits, such as health insurance and 401(k).

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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