Tech Delivery Intern: AI & Cross-Functional Projects

University of Houston; Richardson (TX); On-site; USD 26,000 - 47,000; Full time

Job summary

Health Care Service Corporation (HCSC) offers a ten-week paid internship in Richardson, TX. The Technology Delivery Analyst Intern will participate in a formal program, learn organizational processes, and gain experience with AI capabilities while collaborating with Information Security, Infrastructure, and Product Engineering teams.

Responsibilities include owning components of project work, researching data, developing recommendations, presenting results to leadership, and maintaining

Qualifications

• Currently pursuing a bachelor's degree; rising senior with a major in information technology, information systems, cybersecurity, project management or computer science.
• Graduation date between December 2027 and June 2028.
• Minimum GPA 3.0/4.0.
• Available for the full duration of the 10-week program.
• Unrestricted authorization to work in the United States; sponsorship not available.

Responsibilities

• Actively participate in HCSC's internship program and support business objectives and member-focused solutions.
• Collaborate with cross-functional teams (Information Security, Infrastructure and Product Engineering) on project work.
• Learn and apply AI tools and processes, contributing to deliverables with increasing independence.
• Develop and deliver a final internship presentation to department leadership.

Skills

AI tools usage

Cross-functional collaboration

Analytical reasoning

PC skills Office 365

Education

Bachelor's degree candidate

Tools

MS Teams

SharePoint

Job description

Health Care Service Corporation (HCSC) offers a ten-week paid internship in Richardson, TX. The Technology Delivery Analyst Intern will participate in a formal program, learn organizational processes, and gain experience with AI capabilities while collaborating with Information Security, Infrastructure, and Product Engineering teams.

Responsibilities include owning components of project work, researching data, developing recommendations, presenting results to leadership, and maintaining