Job TitleTAMIDS Senior / Lead AI Engineer
AgencyTexas A&M University
DepartmentTexas A&M Institute of Data Science
Proposed Minimum SalaryCommensurate
Job LocationCollege Station, Texas
Job TypeStaff
Job DescriptionWhat 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.
QualificationsMinimum 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.
- 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 free LinkedIn 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
