AI Experience Intern: Build Real AI Solutions This Summer

National Life Insurance Company Limited; Addison (TX); On-site; USD 25,000 - 36,000; Part time

Job summary

National Life Group invites ambitious undergraduates to join the Digital & AI Experience Intern program for Summer 2027. This onsite internship engages with multiple Operations teams to uncover user needs and apply AI‑assisted tools to solve real business problems.

You will work with experienced mentors, participate in standups, and deliver an end‑of‑summer summary of outcomes. Interns gain hands‑on experience from discovery through delivery, building skills in problem‑solving, experimentation,

Responsibilities

• Partner with Operations teams to identify business problems and opportunities for AI‑assisted solutions.
• Conduct stakeholder and user discovery to understand needs, workflows, and pain points.
• Develop and validate clear problem statements before recommending solutions.
• Build, test, and refine AI‑assisted tools using approved internal platforms.
• Gather user feedback and iterate solutions based on real‑world use.
• Track solution adoption and identify opportunities for improvement.
• Create simple user guides and transition completed solutions to designated business owners.
• Use sound judgment to challenge requests when the proposed solution does not address the underlying problem.
• Participate in Digital & AI Experience team standups, planning, and working sessions.
• Prepare and present an end‑of‑summer summary of solutions delivered, adoption, outcomes, and lessons learned.

Job description

National Life Group invites ambitious undergraduates to join the Digital & AI Experience Intern program for Summer 2027. This onsite internship engages with multiple Operations teams to uncover user needs and apply AI‑assisted tools to solve real business problems.

You will work with experienced mentors, participate in standups, and deliver an end‑of‑summer summary of outcomes. Interns gain hands‑on experience from discovery through delivery, building skills in problem‑solving, experimentation,