Telecom Automation & AI Intern — Plano

Ericsson; Plano (TX); On-site; USD 28,000 - 48,000; Full time

Job summary

Ericsson is seeking a motivated intern to support Technology/IT Operations and AI Automation within cellular networking services in Plano, TX. The role offers hands-on experience building tools, automating workflows, and enhancing data quality to reduce errors.

You will identify automation opportunities, document requirements, and prototype AI-assisted solutions for improving deployment and operational efficiency in RAN projects.

Qualifications

• Strong analytical and problem-solving abilities.
• Proficiency with spreadsheets, databases, or basic programming (Python, scripting).
• Clear written and verbal communication.
• Ability to work in cross-functional teams and adapt to dynamic environments.

Responsibilities

• Work with RAN engineering, construction, field operations, project management, and business teams to identify automation opportunities.
• Document current workflows, process requirements, data sources, bottlenecks, and expected outcomes.
• Develop or enhance scripts, applications, dashboards, integrations, and automation frameworks.
• Prototype AI-assisted solutions for document processing, reporting, data validation, knowledge retrieval, and workflow support.
• Automate repetitive activities such as data entry, file organization, status reporting, quality checks, notifications, and system updates.
• Integrate internal tools and approved third-party platforms using APIs, databases, and automation technologies.

Skills

Python

Data analysis

Cross-functional teamwork

Communication

Job description

Ericsson is seeking a motivated intern to support Technology/IT Operations and AI Automation within cellular networking services in Plano, TX. The role offers hands-on experience building tools, automating workflows, and enhancing data quality to reduce errors.

You will identify automation opportunities, document requirements, and prototype AI-assisted solutions for improving deployment and operational efficiency in RAN projects.