Network Automation & AI Engineer Intern - WaaS
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.
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What This Job Offers
Career Level
Intern
Number of Employees
501-1,000 employees
