AI Jobs in Texas
AI jobs in Texas are among the most active in the country, concentrated in technology, energy, financial services, and healthcare sectors with demand at every level from junior data scientist to principal machine learning engineer. Austin, Dallas, and Houston anchor most of the hiring, with major employers like Dell Technologies, AT&T, and ExxonMobil running established AI and data science teams across the state. The most in-demand specialties are machine learning engineering, natural language processing, and applied AI for enterprise and energy applications. Find a role that fits below and apply directly.
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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.
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 76 AI Jobs in Texas
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Find AI Jobs in TexasAI Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- PepsiCo11
- Tata Consultancy Services (TCS)7
- Apple6
- Tiger Analytics5
- NTT DATA4
Top Industries Hiring
- Technology & Software23
- Consulting & Professional Services14
- Food & Beverage11
- Investment & Asset Management8
- Consumer Goods6
What Texas Employers Look For
The qualifications that appear most often in AI jobs across Texas.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python, TensorFlow, PyTorch, or similar machine learning frameworks
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong communication skills to present model results and recommendations to non-technical stakeholders
- Experience with data pipelines, feature engineering, and large-scale data infrastructure
AI Jobs in Texas: Frequently Asked Questions
How do you become a ai in Texas?
AI roles in Texas do not require a state-issued license or registration, so entry is credential-driven rather than regulated. Most employers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior positions. Building a portfolio of applied projects, contributing to open-source work, and completing recognized certifications in cloud AI platforms strengthens candidacy significantly in the Texas market.
Which companies hire ais in Texas?
Employers hiring ais in Texas right now include PepsiCo, Tata Consultancy Services (TCS), and Apple, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters, major energy companies, and fast-growing tech firms in Austin creates consistent demand well beyond any single sector.
Which Texas cities have the most ai jobs?
Plano, Dallas, and Austin have the most ai openings in Texas. Austin drives demand through its dense technology sector and startup ecosystem, Dallas through corporate headquarters and financial services firms, and Houston through energy companies investing heavily in predictive modeling and operational AI.
Are there remote ai jobs in Texas?
Yes, and more than most fields. About 21% of ai openings tied to Texas are remote or hybrid as of June 2026, reflecting how naturally the work adapts to distributed teams. Model development, research, and data engineering roles are the most consistently offered remotely, while embedded or on-site AI engineering roles at hardware or energy firms tend to require a physical presence.
How can I get hired as a ai in Texas with little or no experience?
The most realistic entry path is an associate or junior data scientist role, which large Texas employers like Dell, ExxonMobil, and major Dallas-area financial firms hire for without requiring deep production experience. Completing a master's program at a Texas university with strong industry partnerships, building a GitHub portfolio of end-to-end ML projects, and targeting rotational data or analytics programs at large Texas corporations opens doors that a resume alone cannot.
Where can I find and apply to ai jobs in Texas?
You can find and apply to ai jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and beyond. Find roles that fit your background and apply directly to the employers posting them.
See All 76 AI Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Jobs in Texas