TAMIDS Senior AI Engineer / Lead AI Engineer

Texas A&M University System • College Station, TX

1d • Onsite

About The Position

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. 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.

Requirements

• Bachelor's degree or any equivalent of education and experience
• Two years of experience developing data-driven AI enabled, or research-focused applications (for Senior AI Engineer)
• Bachelor’s degree or equivalent combination and experience
• Five years of experience developing data-driven, AI enabled, or research-focused applications (for Lead AI Engineer)
• Working and/or expert knowledge of data governance, privacy, and responsible AI in research computing environments.
• Ability to use Personal computer and office software (e.g. Microsoft Office Suite).
• Ability to travel independently to other and/or remote locations by driving and/or flying on commercial airlines.
• Advanced knowledge of programming, software development, database management, server administration, security standards, technical documentation, client needs assessments and applicable regulations.
• Advanced skills in full stack development, troubleshooting and debugging, problem solving, communication, detail orientation and time management.
• Ability to collaborate, learn continuously and be adaptable.

Nice To Haves

• 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.

Responsibilities

• 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, including data processing, AI or analytical components, and user‑facing functionality, based on defined research requirements.
• Works with faculty, researchers, and project teams to integrate AI capabilities into research workflows by translating research needs into implementable technical solutions.
• Uses appropriate computing and data resources to support AI‑enabled research activities in accordance with project needs, data considerations, and institutional standards.
• Develops reusable and well‑documented software components or examples that may be applied across multiple research efforts.
• Oversees selection of appropriate computing and data resources to support AI‑enabled research activities in accordance with project needs, data considerations, and institutional standards.
• Leads development of reusable and well‑documented software components or examples that may be applied across multiple research efforts.
• Supports effective use of AI services within the TAMIDS community by providing guidance to faculty, students, and administrative staff through workshops and training.
• Works with researchers to develop examples, documentation, and case‑based materials that translate complex research contexts into practical templates and reference implementations for AI applications.
• Maintains shared technical materials and knowledge resources that support consistent and responsible use of AI in research environments.
• Coordinates with institutional computing and support units to ensure training materials and example implementations align.
• Acts as a technical point of contact for research teams seeking assistance with AI‑enabled application implementation and support.
• Provides TAMIDS AI consultancy activities through technical assistance to faculty, researchers, and students engaged in AI‑related research efforts.
• Assesses research needs and identifies suitable AI‑enabled approaches within defined project scope.
• Supports and guides students assisting with AI‑related development, training, or consultancy activities.
• Reviews AI‑related technical contributions from students or project collaborators and provides feedback to maintain quality, maintainability, and effectiveness.
• Evaluates research objectives to determine and recommend AI‑enabled approaches and methodologies that align with project goals and technical feasibility.
• Provides technical direction and mentorship to students and junior staff, assisting with AI development, training, and consultancy, ensuring their growth and project alignment.
• Oversees the quality and effectiveness of technical contributions from students and project collaborators, conducting reviews to ensure high standards of maintainability and performance.

Benefits

• 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
• Free exercise programs and release time
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior