AI Platform Engineer Jobs in Austin, TX
AI Platform Engineer jobs in Austin, Texas are concentrated in the Domain, downtown's tech corridor, and the East Austin innovation district, with strong demand across cloud infrastructure, enterprise software, and AI-native startups. Employers hiring right now include AMD, HEB, and Mastercard. See the openings below and apply to the ones that match your experience.
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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.
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Who's Hiring
Top Industries Hiring
- Electronics & Hardware
AI Platform Engineer Jobs in Austin: Frequently Asked Questions
How do I get a ai platform engineer job in Austin?
Focus your search on Austin's tech-dense corridors: the Domain, downtown's Second Street District, and the growing East Austin startup cluster. Enterprise software companies, cloud infrastructure firms, and AI-native startups all hire platform engineers here with regularity. Candidates who demonstrate hands-on experience with MLOps tooling, Kubernetes, and cloud platforms like AWS or GCP stand out most in Austin's competitive hiring pool.
Which companies hire ai platform engineers in Austin?
Employers hiring ai platform engineers in Austin right now include AMD, HEB, and Mastercard, based on current listings on Migrate Mate as of September 2026. Austin's market is a mix of established enterprise tech companies, high-growth SaaS firms, and early-stage AI startups, giving candidates options across company size and funding stage.
Are there remote ai platform engineer jobs in Austin?
Yes, though availability depends on the role's hands-on infrastructure requirements, with fully remote work more common for platform architecture and ML pipeline work than for data center or on-premises deployments. About 67% of ai platform engineer openings tied to Austin are remote or hybrid as of September 2026, reflecting the city's strong remote-work culture in tech. Cloud-focused and MLOps-heavy roles in Austin tend to offer the most location flexibility.
How can I get a ai platform engineer job in Austin with little or no experience?
The most realistic entry path in Austin is through a junior DevOps, cloud operations, or ML engineering support role at one of the city's many mid-size SaaS or cloud infrastructure companies, which regularly hire candidates who can demonstrate project work even without years on a resume. Austin's active tech meetup scene and University of Texas connections create real networking opportunities. Building a portfolio on public cloud platforms and contributing to open-source MLOps projects are concrete steps that Austin hiring managers respond to.
Which industries hire the most ai platform engineers in Austin?
The sectors hiring the most ai platform engineers in Austin are Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. Austin's identity as a hub for enterprise software, fintech, and AI infrastructure companies drives concentrated demand from employers who need platform engineers to build and maintain production-grade ML systems at scale.
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