STEM OPT AI Jobs
AI roles in machine learning, natural language processing, and computer vision qualify for the STEM OPT 24-month extension if your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension begins.
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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% 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% 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 104+ STEM OPT AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM Designated Degree Program List. Computer science, electrical engineering, and statistics degrees typically qualify, but interdisciplinary programs sometimes don't. Confirm with your DSO before targeting STEM OPT roles.
Filter employers by E-Verify enrollment status
STEM OPT is void if your employer isn't enrolled in E-Verify on your start date. Use Migrate Mate to search AI roles filtered by employers with confirmed E-Verify enrollment, so you don't lose authorization after accepting an offer.
Request your I-983 training plan before day one
Your signed I-983 must be in place before USCIS approves your STEM OPT extension. Draft a training plan that maps your AI role's learning objectives to your degree field, and get your employer's signature at least 90 days before your initial OPT expires.
Check prevailing wage before negotiating your offer
AI employers filing LCAs are required to meet DOL prevailing wage standards. Run your target job title and metro area through the OFLC Wage Search before your offer negotiation so you know the wage floor and can flag underpaying offers before accepting.
Use O*NET to match your degree to AI job titles
Specialty occupation determinations hinge on degree-to-role alignment. Look up AI and machine learning job titles on O*NET to confirm the listed education requirement is a specific STEM field, not just 'any bachelor's degree,' which weakens your case for STEM OPT eligibility.
Track cap-gap timing if H-1B is your next step
If your employer files an H-1B visa petition before April 1 and USCIS selects it, cap-gap extends your OPT automatically through September 30. Submit your I-983 renewal and keep your EAD current so there's no gap in authorization during the transition window.
Frequently Asked Questions
Which STEM degrees qualify for the STEM OPT extension in AI roles?
Degrees in computer science, computer engineering, electrical engineering, mathematics, statistics, and data science are the most common qualifying fields for AI jobs. Your degree's CIP code must appear on the USCIS STEM Designated Degree Program List. Interdisciplinary or applied programs sometimes carry CIP codes that aren't on the list, so confirm with your DSO before assuming eligibility.
Does every AI employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a legal requirement for all STEM OPT employers, with no exceptions. The enrollment must be active on your first day of work, not just when you sign your offer letter. You can verify an employer's E-Verify status through the E-Verify employer search tool before accepting an offer. Startups and smaller AI labs frequently overlook this requirement, so always check.
What goes into the I-983 training plan for an AI role?
The I-983 must describe the specific AI skills and learning objectives you'll develop, how those objectives connect to your STEM degree field, and how your employer will supervise and evaluate your progress. For machine learning or NLP roles, this means documenting model development workflows, research methodologies, and technical mentorship structures. Both you and a company official must sign the plan before USCIS processes your extension.
How do I find AI employers who are already set up to hire STEM OPT students?
Migrate Mate lists AI roles from employers with verified E-Verify enrollment and prior STEM OPT or H-1B filing history, so you can target companies that have already navigated the compliance process. This saves significant time compared to screening employers manually after receiving offers from companies unfamiliar with the training plan and reporting requirements.
What happens to my STEM OPT if my AI employer gets acquired or changes its E-Verify status?
If your employer's E-Verify enrollment lapses or the company is acquired by a new legal entity that isn't enrolled, your STEM OPT authorization is at risk. You must notify your DSO within five business days and either confirm the successor entity re-enrolls in E-Verify or begin your job search immediately. USCIS treats a gap in E-Verify coverage as a violation of STEM OPT terms.