TAMIDS Senior / Lead AI Engineer

Texas A&M University; College Station (TX); On-site; USD 82,000 - 109,000; Full time

Job summary

Texas A&M University’s Institute of Data Science (TAMIDS) seeks a Senior/Lead AI Engineer to guide AI initiatives in College Station. The role collaborates with engineers and researchers to build data-driven AI applications and end-to-end workflows, advancing research and education across disciplines.

The position is in-person at TAMIDS with a commensurate salary based on qualifications, travel up to 10%, and a cover letter and resume recommended.

Qualifications

• Bachelor's degree or equivalent combination and experience.
• Two years of experience developing data-driven AI enabled, or research-focused applications.
• Demonstrated experience providing technical guidance through consultancy, training or workshops on AI systems and applications to team members, end-users or non-specialists

Responsibilities

• Lead AI engineering initiatives across TAMIDS
• Develop data-driven AI applications and research workflows
• Collaborate with researchers to design and deploy AI-enabled solutions

Skills

AI engineering

Data-driven AI

Team leadership

Education

Bachelor's degree or equivalent combination and experience

Tools

High-performance computing

Job description

Who We Are

The Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges. In partnership with over 200 research affiliates from across The Texas A&M University System, work being done by TAMIDS is shaping the future of Data Science research. To learn more, visit https://tamids.tamu.edu/.

Job Title

TAMIDS Senior / Lead AI Engineer

Agency

Texas A&M University

Department

Texas A&M Institute of Data Science

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Who We Are

The Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges. In partnership with over 200 research affiliates from across The Texas A&M University System, work being done by TAMIDS is shaping the future of Data Science research. To learn more, visit https://tamids.tamu.edu/.

What You Need To Know

• Salary: $6862.34/Mo - $9058.28/Mo depending on qualifications.


• This position is funded from grant and/or contract funding, which is renewed through provisions of the grantor of the contract. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance.


• A cover letter and resume are strongly recommended


• Travel: This position may require up to 10% or more travel


• Schedule: This position may require work beyond normal office hours and/or work on weekends


• Location: TAMIDS offices are located in College Station, Texas and the position is in person only.

Qualifications

Minimum required qualifications for TAMIDS Senior AI Engineer

• Bachelor's degree or any equivalent of education and experience


• Two years of experience developing data-driven AI enabled, or research-focused applications.


• Demonstrated experience providing technical guidance through consultancy, training or workshops on AI systems and applications to team members, end-users or non-specialists

Preferred Qualifications

• Master’s degree related to Data Science or Artificial Intelligence


• Completion of formal professional training in applied artificial intelligence that includes hands‑on experience with an enterprise‑style AI platform used to support end‑to‑end AI application workflows.


• Experience developing and maintaining AI‑enabled research applications that support data‑driven or analytical workflows.


• Experience building end‑to‑end applications that include web dashboards or portals, backend services, and integrated AI or analytical functionality.


• Experience working with research data, including designing or operating pipelines for ingesting, transforming, and managing structured and unstructured data.


• Experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing large data sets on high-performance file systems.


• Proficiency in one or more modern programming languages commonly used in research or scientific computing.


• Experience supporting AI‑enabled applications deployed on institutionally managed infrastructure and commercial AI platforms, including managing execution, resource usage, and reliability.


• Experience assessing AI application behavior relative to user needs and exercising judgment to refine configurations, workflows, or inputs.


• Experience applying software engineering practices that support reliability and sustainability, including testing, debugging, version control, dependency management, and documentation.


• Experience developing example applications, reference implementations, or reusable templates (e.g., notebooks, starter kits, sample workflows, demo systems) that enable adoption of AI-enabled tools by others. This may include creating onboarding materials, documentation, guides, or walkthroughs to help researchers or non-specialists get started.


• Experience directing the technical work of junior peers.


• Experience providing technical guidance through workshops, training, or consultancy with faculty, researchers, students, or project teams.

Minimum Required Qualifications For TAMIDS Lead AI Engineer

• Bachelor’s degree or equivalent combination and experience


• Five years of experience developing data-driven, AI enabled, or research-focused applications


• Demonstrated experience designing and delivering technical guidance through consultancy, training or workshops on AI systems and applications to team members, end-users or non-specialists

Preferred Qualifications

• Masters degree related to Data Science or Artificial Intelligence


• Completion of formal professional training in applied artificial intelligence that includes hands‑on experience with an enterprise‑style AI platform used to support end‑to‑end AI application workflows.


• Experience leading the development and maintenance of AI‑enabled research applications that support data‑driven or analytical workflows.


• Extensive experience building end‑to‑end applications that include web dashboards or portals, backend services, and integrated AI or analytical functionality.


• Extensive experience working with research data, including designing or operating pipelines for ingesting, transforming, and managing structured and unstructured data.


• Extensive experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing large data sets on high-performance file systems.


• Mastery of one or more modern programming languages commonly used in research or scientific computing.


• Extensive experience supporting AI‑enabled applications deployed on institutionally managed infrastructure and commercial AI platforms, including managing execution, resource usage, and reliability.


• Extensive experience assessing AI application behavior relative to user needs and exercising judgment to refine configurations, workflows, or inputs.


• Extensive experience applying software engineering practices that support reliability and sustainability, including testing, debugging, version control, dependency management, and documentation.


• Extensive experience developing example applications, reference implementations, or reusable templates (e.g., notebooks, starter kits, sample workflows, demo systems) that enable adoption of AI-enabled tools by others. This may include creating onboarding materials, documentation, guides, or walkthroughs to help researchers or non-specialists get started.


• Experience directing the technical work of junior peers.


• Extensive experience providing technical guidance through workshops, training, or consultancy with faculty, researchers, students, or project teams.

Why Texas A&M University?

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums


• 12-15 days of annual paid holidays


• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month


• Automatic enrollment in the Teacher Retirement System of Texas


• Health and Wellness: Free exercise programs and release time


• Professional Development: All employees have access to freeLinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more


• Educational release time and tuition assistance for completing a degree while a Texas A&M employee


• Living Well, a program at Texas A&M that has been built by employees, for employees

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.