AI Platform Engineer Jobs in Texas
AI Platform Engineer jobs in Texas are among the most active in the country, concentrated in enterprise technology, energy sector digital transformation, financial services, and defense contracting, with demand at every level from junior to principal engineer. The largest hiring metros are Austin, Dallas, and Houston, where major employers such as Dell Technologies, AT&T, and ExxonMobil maintain substantial engineering operations. The most sought-after specialties in Texas are MLOps infrastructure, large language model deployment, and cloud-native AI pipeline development. Find a role that fits below and apply directly.
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Description
The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Description
The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
See All 65 AI Platform Engineer Jobs in Texas
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Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Platform Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- Food & Beverage
- Science & Research
What Texas Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Texas.
- Bachelor's degree in computer science, software engineering, or a closely related field
- Hands-on experience designing and deploying machine learning pipelines in production environments
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Experience with MLOps tooling including Kubeflow, MLflow, or similar orchestration frameworks
- Strong programming skills in Python and familiarity with containerization using Docker and Kubernetes
- Ability to collaborate with data science and DevOps teams to operationalize and monitor AI models
AI Platform Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai platform engineer in Texas?
Most ai platform engineers in Texas enter the field with a bachelor's degree in computer science, software engineering, or a related discipline, since there is no state-issued license specific to this role. Texas employers typically expect candidates to demonstrate hands-on experience through a strong project portfolio, open-source contributions, or internships. Industry certifications from AWS, Google Cloud, or Microsoft Azure carry real weight with Texas hiring teams and help establish credibility when formal experience is limited.
How much do AI platform engineers make in Texas?
AI platform engineers in Texas earn a median of about $111,530 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,480 for the lowest 10% to over $174,300 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Texas?
Employers hiring ai platform engineers in Texas right now include Information Technology Senior Management Forum, Caterpillar, and University of Texas at El Paso, based on current listings on Migrate Mate as of September 2026. Texas's mix of large tech campuses, energy company innovation labs, and financial services headquarters creates consistent demand across multiple industries rather than concentrating hiring in a single sector.
Which Texas cities have the most ai platform engineer jobs?
Austin, Dallas, and Irving have the most ai platform engineer openings in Texas. Austin's dense concentration of tech company offices and semiconductor firms drives the largest share of postings, while Dallas benefits from its major financial services and telecom headquarters, and Houston's energy sector has invested heavily in AI-driven operations and data infrastructure.
Are there remote ai platform engineer jobs in Texas?
Yes, and more than most fields. About 67% of ai platform engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting the desk-based and infrastructure-focused nature of the work. The portions of the role most commonly offered remotely include model deployment, pipeline development, and MLOps tooling work, while on-site presence is more often required for roles integrated with enterprise data centers or defense facilities.
How can I get hired as a ai platform engineer in Texas with little or no experience?
The most realistic entry path is targeting junior MLOps or AI infrastructure associate roles at large Texas employers such as Dell Technologies, Texas Instruments, or ExxonMobil's digital technology division, which regularly onboard candidates from related backgrounds. Moving laterally from a software engineering, data engineering, or DevOps role is a proven route, since those skills map directly onto AI platform work. Building a portfolio of public projects that demonstrate pipeline deployment or model serving, combined with an entry-level cloud certification, gives candidates a concrete edge when applying in Texas.
Where can I find and apply to ai platform engineer jobs in Texas?
You can find and apply to ai platform engineer jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets in the state. Find roles that fit your experience and apply directly to the employers posting them.
See All 65 AI Platform Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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