TAMIDS Senior / Lead AI Engineer

tamus; College Station (TX); On-site; USD 77,000 - 101,000; Full time

Job summary

Texas A&M University TAMIDS seeks a Senior/Lead AI Engineer to advance data-driven AI applications and research workflows. This in-person role at TAMIDS in College Station requires leadership, cross‑disciplinary collaboration, and a track record of delivering AI-enabled solutions.

The position emphasizes guidance and training, with opportunities to mentor peers and shape end‑to‑end AI platforms. Travel and extended hours may be required.

Qualifications

• Bachelor's degree or equivalent; two years of experience developing data-driven AI-enabled applications or research-focused projects.
• Demonstrated ability to guide others through consultancy, training, or workshops on AI systems and applications.

Responsibilities

• Lead design and delivery of AI-enabled research applications and workflows.
• Provide technical guidance through workshops, training, or consultancy with researchers and students.
• Mentor junior engineers and oversee end‑to‑end AI projects.

Skills

AI system guidance

Research-focused apps

Mentoring & training

HPC & parallel computing

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

Enterprise‑style AI platform

Web dashboards

Job description

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.

A cover letter and resume are s trongly 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 ingest