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Masters In Artificial Intelligence Jobs in Texas

Master's degree in Artificial Intelligence, Data Science, Data Analytics, or related field from an accredited institution of higher learning. * Experience teaching within online higher education ...

Master's degree in Artificial Intelligence, Data Science, Data Analytics, or related field from an accredited institution of higher learning. * Experience teaching within online higher education ...

Strong foundations in machine learning, statistics, data structures, and software engineering ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

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Masters In Artificial Intelligence information

Which 3 jobs will survive AI?

For a Masters in Artificial Intelligence, roles such as AI research scientist, machine learning engineer, and data scientist are likely to persist as they require advanced expertise, creativity, and problem-solving skills that are difficult for AI to fully replicate. These jobs involve designing, developing, and interpreting complex algorithms and models, often requiring domain-specific knowledge and critical thinking. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in these fields.

What are the key skills and qualifications needed to thrive with a Master's in Artificial Intelligence, and why are they important?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI solutions.

How does earning a Master's in Artificial Intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

Is a master's degree in AI worth it?

A master's degree in artificial intelligence can enhance job prospects for AI roles by providing advanced knowledge in machine learning, data analysis, and programming skills. It often leads to higher salaries and more specialized positions, but practical experience and skills in tools like Python and TensorFlow are also highly valued in the industry.

What is a Masters in Artificial Intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.

What is the average salary with an AI master's?

A master's in artificial intelligence typically leads to roles such as AI engineer or data scientist, with average salaries ranging from $90,000 to $130,000 annually in many regions. Salaries depend on experience, location, and specific skills like machine learning or programming languages such as Python.
What cities in Texas are hiring for Masters In Artificial Intelligence jobs? Cities in Texas with the most Masters In Artificial Intelligence job openings:
Endowed Chair in Artificial Intelligence Research

Endowed Chair in Artificial Intelligence Research

Texas State University

San Marcos, TX • On-site

Full-time

Re-posted 24 days ago


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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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