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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
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 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
- Compensation: $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% (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.
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.
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
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 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
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, 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.
AI Training and Community Enablement
- 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.
AI Consultancy and Research Team Support
- 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.
Knowledge, Skills, and Abilities
- 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).
- Some lifting/carrying of classroom/presentation materials up to 20lbs.
- Ability to travel independently to other and/or remote locations by driving and/or flying on commercial airlines.
- Direct and/or evaluate the work of others.
- 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. Leadership and mentorship skills.
- Ability to collaborate, learn continuously and be adaptable.
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.
Why Texas A& M University?
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
-
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
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.
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
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 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
- Compensation: $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% (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.
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.
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
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 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
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, 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.
AI Training and Community Enablement
- 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.
AI Consultancy and Research Team Support
- 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.
Knowledge, Skills, and Abilities
- 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).
- Some lifting/carrying of classroom/presentation materials up to 20lbs.
- Ability to travel independently to other and/or remote locations by driving and/or flying on commercial airlines.
- Direct and/or evaluate the work of others.
- 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. Leadership and mentorship skills.
- Ability to collaborate, learn continuously and be adaptable.
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.
Why Texas A& M University?
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
-
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
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.
See all 616+ AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in AI
Document your AI specialization before applying
PERM requires your employer to define a specific job duty set tied to your credentials. Compile evidence of your machine learning frameworks, published models, or research outputs now so your employer's labor certification accurately reflects the role you'll actually perform.
Target employers with active PERM filing history
Not every company that hires AI engineers has filed PERM petitions before. Use Migrate Mate to filter for employers with documented green card sponsorship history in AI and data science roles, so you're not the first person they've ever sponsored.
Negotiate PERM sponsorship into your offer letter
Employers are not required to sponsor green cards, and many AI teams treat it as optional. Ask explicitly during the offer stage whether PERM is included in the employment package, and get the timeline commitment in writing before you sign.
Verify your prevailing wage classification early
PERM locks your employer into paying at least the DOL prevailing wage for your specific SOC code and work location. Check the OFLC Wage Search for your AI job title before accepting an offer to confirm the wage level aligns with what the company is prepared to pay.
Use O*NET to confirm specialty occupation alignment
USCIS evaluates whether your AI role qualifies as a specialty occupation requiring a specific degree. Cross-check your job title and duties against the O*NET occupation profile to identify the degree field your employer should list on the PERM application.
AI jobs are hiring across the US. Find yours.
Find AI JobsAI Green Card Sponsorship: Frequently Asked Questions
Do AI jobs commonly qualify for EB-2 or EB-3 green card sponsorship?
Most AI engineering and research roles qualify for EB-2 because they require a master's degree or its equivalent in computer science, mathematics, or a related technical field. Roles that require only a bachelor's degree typically fall under EB-3. Either category goes through PERM labor certification, where the employer must show no qualified U.S. worker is available for the specific position.
How does green card sponsorship differ from H-1B for AI professionals?
H-1B is a temporary status that requires renewal every three years and, for most nationalities, subjects you to an annual lottery. PERM-based green card sponsorship has no lottery and leads to permanent residency. The tradeoff is time: PERM labor certification, I-140 approval, and adjustment of status together can take two to four years for most nationalities, longer for Indian and Chinese nationals due to priority date backlogs.
What does the PERM labor certification process involve for an AI role?
Your employer files a PERM application with DOL certifying that they advertised the AI position, found no minimally qualified U.S. applicants, and are offering at least the prevailing wage for that SOC code and location. The recruitment period typically spans 30 to 60 days. Once DOL certifies the application, your employer files an I-140 immigrant petition with USCIS to formally establish your priority date.
How do I find AI employers who will actually sponsor a green card?
Use Migrate Mate to search for AI and machine learning roles filtered by employers with confirmed green card sponsorship history. Many job postings don't advertise PERM sponsorship upfront, so filtering by verified filing history saves significant time and helps you focus your applications on companies that have completed the process before rather than those encountering it for the first time.
Can my employer start my PERM process while I'm on an H-1B?
Yes, and starting early is strongly advisable. PERM labor certification can begin at any point during your H-1B employment. If your I-140 is approved and your priority date is current, you can file for adjustment of status before your H-1B expires. Filing PERM while you're still in early H-1B status gives you the most flexibility if your priority date takes longer than expected to become current.
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