AI Research & Data Analytics Associate
Listed on 2026-11-06
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Data Scientist
Requisition
Employment Type:
Unclassified Temporary Full-Time (UFP)
Division:
Information Technology
Compensation: 89,286., Annual Salary
Job Closing: 11/17/2026 11:59 PM CST
Location: TRS Headquarters Building 2 1900 Aldrich Street Austin, Texas, 78723 United States
The Information Technology (IT) Division lays the foundation for TRS to deliver excellent service experiences across the organization and with our members. We serve with purpose through mentorship and collaboration across a broad variety of teams unified by innovation to create technology and information solutions that have a positive impact on our members’ lives. We invite you to join one of Austin's Top Workplaces.
TRS offers a best-in-class combination of technology and continuous learning opportunities to equip you to solve problems, expand your knowledge, and create impact for 1 in 20 Texans.
This Fellowship Program position is a full-time, temporary, limited term assignment not to exceed three years from the date of hire. It is intended for applicants that have graduated with a bachelor's degree or a master's degree from an accredited college or university within the last 12 months.
The Artificial Intelligence (AI) Research & Data Analytics Associate Fellow supports the Enterprise AI & Data Management team in researching, prototyping, and evaluating emerging AI technologies, advanced analytics capabilities, and data-driven solutions. The incumbent contributes to applied research, proof-of-concept development, technology assessments, and responsible AI practices that help advance enterprise AI engineering, AI-enabled applications, and modern data platform capabilities. This position works closely with the Enterprise AI & Data Management team, IT staff, and agency employees to explore, validate, and support the adoption of AI and data platform capabilities that deliver organizational value.
WHATYOU WILL DO AI Research, Innovation, & Development
- Assists with researching emerging AI technologies, trends, tools, and industry practices.
- Assists with evaluating potential applications of generative AI, agentic AI, machine learning, and advanced analytics solutions.
- Summarizes findings and recommendations to support AI initiatives.
- Assists in developing proofs of concept, prototypes, and technical demonstrations to evaluate AI technologies and solutions.
- Supports testing and validation of AI tools, models, and technologies.
- Documents results, lessons learned, and recommendations for future implementation.
- Stays current on developments related to responsible AI, governance, and industry standards.
- Supports the development and enhancement of AI data pipelines, AI-enabled applications, and related solutions.
- Assists with Enterprise AI and Data Platform initiatives, including technologies such as Databricks, Fabric, Azure AI Services, and related platforms.
- Creates and maintains technical documentation, research summaries, and reusable assets.
- Supports responsible AI practices by considering privacy, security, bias, and governance requirements.
- Collaborates with architects, engineers, analysts, and business teams on AI-related initiatives.
- Assists in completing special projects and performs other work as assigned.
- May assist in researching, compiling, and analyzing data; and preparing simple queries and reports.
- May review forms, correspondence, reports, and other documents for completeness and acceptability.
- May assist in reviewing and analyzing agency policies, procedures, and forms and recommending changes to improve efficiency and effectiveness.
- Participates in trainings and projects related to the TRS Fellowship Program including webinars, quarterly check-ins, classes or other learning activities, book group, projects, and the mentoring program.
- Meets TRS Fellowship Program deadlines and goals for completion of trainings in deliverables in a timely manner.
- Performs related work as assigned.
- Bachelor's or Master’s degree from an accredited college or university in computer science, data science, artificial intelligence, machine learning, computer engineering, information technology or a closely related field awarded within the last 12 months.
- None.
- None.
- Experience through coursework, internships, research projects, or personal…
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