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Cloud Technical Support AI Engineer Co-op

Wasabi Technologies
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Role Description: Cloud Technical Support AI Engineer - Co-op

Role Purpose:

Wasabi Technologies Inc. is seeking an enthusiastic candidate with a background in Computer Science, Artificial Intelligence, or Software Engineering to join our team for a 6–8 months co-op term (Spring/Summer 2026).

This role offers the opportunity to contribute to and learn about the design and development of AI-driven automations, dashboards, and troubleshooting tools that support and enhance the efficiency of our customer support operations. The position reports to the Manager of Technical Support Engineering and involves working closely with the Support Team, Product Team, Development and fellow Northeastern University co-ops in a collaborative, hands-on learning environment.


*Principals Only. No Recruiters.

Responsibilities:

  • Collaborate and learn alongside Support Engineering and Product teams to explore ways to enhance Service Cloud using Salesforce Einstein AI capabilities.
  • Assist in developing AI-powered dashboards and analytics tools for monitoring and reporting.
  • Contribute to the creation of intelligent troubleshooting workflows that leverage AI to help detect and suggest issue resolutions.
  • Support ongoing efforts in process automation and predictive analytics workflows.
  • Participate in integration activities between AI models, Service Cloud, and third-party systems under mentorship.
  • Analyze datasets and help identify patterns or insights that could inform operational improvements.
  • Work across teams to test and validate AI features in development.

Requirements:

  • Academic background in Computer Science, Artificial Intelligence, or Software Engineering.
  • Coursework or project exposure in machine learning, data analytics, or AI applications.
  • Interest in learning Salesforce Service Cloud and Einstein AI (or similar CRM AI platforms).
  • Familiarity with basic Python, SQL, or JavaScript for scripting and automation.
  • Strong problem-solving and analytical mindset with a desire to learn from data.
  • Exposure to or interest in cloud environments (AWS, Azure, or GCP).
  • Excellent communication skills and a collaborative learning attitude.
  • Currently residing in Massachusetts (Boston preferred).
  • Ability to work up to 40 hours per week in a hybrid model.
  • Master’s degree candidates preferred.