Remote AI Implementation Analyst

University of Texas at Austin; United States; Remote; USD 76,000 - 92,000; Full time

Benefits offered by this job

Competitive health benefits

Tuition assistance

Free access to UT libraries and museum

Free UT shuttle and CapMetro access

LinkedIn Learning access

Job summary

University of Texas at Austin is seeking an AI Technical Implementation Analyst in a fully remote role within Technology Resources. You will partner with FAS units to translate AI use cases into practical, scalable solutions and ensure sustainable deployment.

The role requires hands-on AI tool experience, strong business analysis skills, and the ability to document ownership and transfer knowledge across teams.

Qualifications

• Experience managing automation projects and performing business analysis.
• Hands-on experience deploying AI-assisted solutions using tools like Claude, ChatGPT, or Copilot.
• Ability to translate business requirements into technical specifications and implementations.
• Ability to analyze complex processes and design systematic solutions with structured problem-solving.

Responsibilities

• Implement AI use cases with FAS business units; prototype, test, and roll out solutions.
• Maintain hands-on proficiency in enterprise AI tools and assist users in adoption.
• Document solution ownership, support plans, and reusable templates for future use.
• Coordinate with ET AI Studio to address advanced technical needs and infrastructure gaps.
• Collaborate across teams to align with broader technology initiatives.

Skills

Automation project management

Business analysis

Problem solving frameworks

Education

Bachelor's degree in information systems, computer science, business administration, or related field

Tools

Claude

ChatGPT

Microsoft Copilot

Job description

University of Texas at Austin is seeking an AI Technical Implementation Analyst in a fully remote role within Technology Resources. You will partner with FAS units to translate AI use cases into practical, scalable solutions and ensure sustainable deployment.

The role requires hands-on AI tool experience, strong business analysis skills, and the ability to document ownership and transfer knowledge across teams.