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Artificial Intelligence Graduate Jobs in Texas (NOW HIRING)

Lead AI and Data Science Engineer II

San Antonio, TX · On-site

$92K - $121K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

Lead AI and Data Science Engineer II

Fort Worth, TX · On-site

$98K - $129K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

Lead AI and Data Science Engineer II

Dallas, TX · On-site

$101K - $133K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

Lead AI and Data Science Engineer II

Houston, TX · On-site

$97K - $128K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

Lead AI and Data Science Engineer II

Austin, TX · On-site

$101K - $133K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

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Artificial Intelligence Graduate information

See Texas salary details

$10.2K

$95.9K

$123.9K

How much do artificial intelligence graduate jobs pay per year?

As of Aug 16, 2026, the average yearly pay for artificial intelligence graduate in Texas is $95,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $123,400.00 per year, depending on experience, location, and employer.

What types of career growth opportunities can an artificial intelligence graduate expect?

As an Artificial Intelligence Graduate, you can expect a variety of career advancement paths, such as transitioning into roles like AI Engineer, Data Scientist, or Machine Learning Researcher. Many organizations offer mentorship programs, on-the-job training, and support for further certifications to help you deepen your expertise. Over time, you may have the chance to lead projects, specialize in subfields such as natural language processing or computer vision, or move into management roles. Continuous learning and hands-on experience with real-world AI applications are key factors that drive career progression in this dynamic field.

What skills and qualifications are needed to thrive as an artificial intelligence graduate?

To thrive as an Artificial Intelligence Graduate, you need a solid understanding of machine learning, data analysis, and programming, typically supported by a degree in computer science, AI, or a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and relevant certifications (like Microsoft or Google AI certifications) is highly valuable. Strong analytical thinking, continuous learning, and effective communication skills will help you collaborate with multidisciplinary teams and present complex findings. These competencies enable you to contribute effectively to AI projects and adapt to the rapidly evolving technology landscape.

What is an artificial intelligence graduate?

An Artificial Intelligence Graduate job is an entry-level position designed for recent graduates with a background in AI, machine learning, or data science. These roles typically involve assisting in AI model development, data analysis, and algorithm optimization under the guidance of experienced professionals. Graduates may work in industries such as technology, finance, healthcare, or robotics, applying AI techniques to solve real-world problems. The job often includes hands-on experience with programming languages like Python, frameworks like TensorFlow or PyTorch, and cloud computing tools. It serves as a stepping stone to more advanced AI roles in research, engineering, or data science.

What are popular job titles related to Artificial Intelligence Graduate jobs in Texas?

For Artificial Intelligence Graduate jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Graduate jobs in Texas look for?

The top searched job categories for Artificial Intelligence Graduate jobs in Texas are:

What cities in Texas are hiring for Artificial Intelligence Graduate jobs?

Cities in Texas with the most Artificial Intelligence Graduate job openings:

Infographic showing various Artificial Intelligence Graduate job openings in Texas as of August 2026, with employment types broken down into 3% As Needed, 77% Full Time, 18% Part Time, and 2% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $95,902 per year, or $46.1 per hour.

Endowed Chair in Artificial Intelligence Research

Texas State University

San Marcos, TX • On-site

Full-time

Re-posted 22 days ago


Texas State University rating

6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

532nd of 618 rated colleges and universities


Job description

Posting Information
Posting Information
Position Title
Endowed Chair in Artificial Intelligence Research
Job Posting Number
2026078TTL
Job Location
San Marcos
Department
Office of the Provost and EVPAA
Position Description
Texas State University seeks applications for an endowed chair at the rank of Professor to conduct research on any aspect of Artificial Intelligence. Texas State University seeks to establish a leadership position in Artificial Intelligence to complement existing research strengths in interdisciplinary applications of AI, interdisciplinary applications of AI, machine learning, computer vision, efficiency and responsible-use research. Texas State is also home to the Center for Analytics and Data Science (TXST CADS), an interdisciplinary hub for data-intensive research, education and outreach. Texas State University hosted a town hall on January 29 to discuss areas of impact for hiring in Artificial Intelligence research and to bring together the dynamic Artificial Intelligence research community.
Texas State University receives a full share of the Texas University Fund (TUF) and plans to invest funds in recruitment and substantial start-up support for strategic hires with established research programs and active external funding in historic and emerging areas of research strength, including Artificial Intelligence.
We seek to hire dynamic and innovative scholars with an exceptionally strong research record supported by external funding. An applicant's scholarly focus should complement and enhance the Artificial Intelligence scholarship and teaching strengths of Texas State, such as:
  • AI Systems and Infrastructure.
  • AI Ethics, Policy and Governance.
  • AI Across the Disciplines.
  • AI in Healthcare and Medicine.
  • AI in Communication and Digital Media.
  • AI in Supply Chain and Logistics.
  • AI in Manufacturing.
  • AI in Environmental and Sustainability Applications.
  • AI in Law and Criminal Justice.

Responsibilities:
  • Seek external funding and coordinate interdisciplinary grants with both internal and external collaborators.
  • Conduct and publish original research on Artificial Intelligence.
  • Lead interdisciplinary collaboration with faculty across the university.
  • Develop and maintain an active research agenda.
  • Teach undergraduate and graduate courses on Artificial Intelligence and related subjects.
  • Mentor and advise students.
  • Contribute to the development of the Artificial Intelligence curriculum.
  • Participate in service activities at the department, college, and university levels.

The successful candidate will join the department(s) appropriate to their area of scholarly focus. The successful candidate will be expected to bring a research group supported by existing external grants and have the opportunity to negotiate additional hires in related areas to support their research.
Required Qualifications
  • Ph.D. or terminal degree.
  • Evidence of a scholarly focus and sustained record of research excellence on Artificial Intelligence.
  • Evidence of sustained record of excellence in teaching and mentoring students.
  • Evidence of a sustained record of obtaining external funding.

Preferred Qualifications
  • Evidence of activity in organizing conferences and sessions on Artificial Intelligence.
  • Experience in teaching and mentoring both undergraduate and graduate students.
  • Experience supporting experiential learning for undergraduate and graduate students.
  • Strong commitment to interdisciplinary collaboration.
  • Evidence of community engagement for scholarship and teaching.

Application Procedures
Applications will be considered on a rolling basis. Only applications submitted through the Texas State University website will be accepted and considered: https://jobs.hr.txstate.edu/postings/56490Interested applicants should submit the following materials:
  • A cover letter highlighting scholarly focus, publications, teaching, and external funding.
  • A detailed curriculum vitae.
  • Unofficial transcripts (all in one document).
  • The names and contact information of three references.

The selected candidate will be required to provide official transcripts from all degree granting universities.
Proposed Start Date
Fall 2026 (negotiable)
Posting Date
03/27/2026
Review Date
10/30/2026
Close Date
Open Until Filled?
Yes
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
Quick Link
https://jobs.hr.txstate.edu/postings/56490

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