Network Automation & AI Engineer Intern - WaaS

Zayo • Denver, CO

1d • $23 - $25 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees