AI/ML Engineer Intern

Role: AI/ML Engineer Intern 2

Duration: 12 months

Location: Austin, TX 78744

This position requires an onsite presence 4 to 5 days per week. Candidates must reside in the Austin area and be authorized to work in the United States.

The client is work to be accomplished

• The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry-level AI talent in support of the client's AI Strategic Plan. Under supervision, the intern will:
• Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
• Contribute to the development of AI/ML models and prototype applications for prioritized use cases
• Help design and document data and AI pipelines that integrate with existing systems
• Create reports, analyses, and presentations that communicate findings and outcomes clearly
• Collaborate with data, engineering, software development, and governance teams

An AI/Technical Product Owner (TPO) Apprentice will also provide direct support for Planning & Administration team in the following areas:

• Research emerging AI technologies, document findings, and prepare recommendations, reports, and presentations.
• Support AI governance activities, including risk assessments, compliance tracking, and documentation maintenance.
• Identify and evaluate opportunities to improve business processes using AI, automation, and digital solutions.
• Serve as an administrator for assigned enterprise applications, supporting configuration, access management, and operational activities.

Act as a Technical Product Owner (TPO) for assigned divisions and application portfolios.

• Partner with project managers, architects, developers, vendors, and stakeholders to support project delivery and application enhancements.
• Build and maintain strong relationships with business stakeholders and division leadership.
• Coordinate production support activities, monitor issues, and manage escalations through resolution.
• Assist with application modernization, continuous improvement, and innovation initiatives.
• Support vendor management, software renewals, governance activities, and portfolio planning efforts.