TAMIDS Senior AI Engineer / Lead AI Engineer

About the role

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 we want The TAMIDS Senior AI Engineer, under general supervision, develops, implements, and supports low‑to‑moderately complex Artificial Intelligence‑enabled software solutions in support of research and analytical activities within the Texas A&M Institute of Data Science (TAMIDS) and affiliated programs. The position focuses on deploying AI techniques, tools, and methodologies and supporting faculty, researchers, and project teams in conducting AI-enabled research. This includes contributing directly to AI application development, integrating AI capabilities into end-to-end research workflows, and participating in TAMIDS consultancy and support activities that help researchers design, implement, or advance AI-based research efforts. What You Need to Know Compensatio n: $6862.34/Mo - $9058.28/Mo depending on qualifications This position is funded from gran t 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% (specify percentage) or more travel Schedule : This position may require work beyond normal office hours and/or work on weekends TAMIDS offices are located in College Station, Texas and the position is in person only.

Responsibilities

• AI Workflow Implementation and Application Development
• Under general supervision, develops, implements, and maintains low‑to‑moderately complex AI‑enabled software components that support research and analytical workflows.
• Develops and integrates end‑to‑end AI‑enabled research applications, inclu

Requirements

• 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.
• 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
• 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 examples, reference implementations, or reusable templates that support adoption of AI‑enabled research tools.
• Experience providing technical guidance through workshops, training, or consultancy with faculty, researchers, students, or project teams.
• 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.

Benefits

Additional Information

Job Title TAMIDS Senior AI Engineer / 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

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