Cloud AI Architect Jobs in USA with Visa Sponsorship
Cloud AI Architect roles attract strong H-1B visa sponsorship from hyperscalers, enterprise software firms, and AI-native startups. The specialty occupation standard is straightforward for this title: employers consistently require a bachelor's degree or higher in computer science, engineering, or a related field. For detailed occupation requirements, see the O*NET profile.
Find Cloud AI Architect JobsOverview
Showing 5 of 17,626+ Cloud AI Architect jobs
See all 17,626+ Cloud AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud AI Architect roles.
Get Access To All JobsDescription
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.
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.
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 17,626+ Cloud AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud AI Architect roles.
Get Access To All JobsTips for Finding Cloud AI Architect Jobs
Target employers with established H-1B filing histories
Large cloud providers and enterprise software companies file hundreds of H-1B petitions annually for architecture roles. Prioritizing these employers significantly reduces the risk of a first-time sponsor struggling with USCIS requirements or petition preparation.
Align your degree field to your specialization
USCIS scrutinizes whether your degree matches the role. A computer science, information systems, or electrical engineering degree maps cleanly to Cloud AI Architect. A general business degree will require additional documentation linking coursework to the technical responsibilities.
Certifications strengthen your petition, not replace your degree
AWS Solutions Architect, Google Cloud Professional, and Azure certifications signal practical expertise to employers and can support your petition. They do not substitute for the degree requirement USCIS applies to specialty occupation determinations for this title.
Negotiate for premium processing from the start
Premium processing provides a 15-business-day adjudication window, which matters when you have a project start date or are transitioning between employers. Many tech companies cover this cost, but confirm it during offer negotiation rather than after signing.
Document your AI-specific responsibilities in detail
Generic job descriptions weaken H-1B petitions. Work with your employer to ensure the support letter specifies your cloud architecture deliverables, AI platform responsibilities, and the technical degree requirement, giving USCIS a clear specialty occupation case.
Understand your cap-exempt options if lottery selection fails
Universities, nonprofit research institutions, and certain government-affiliated organizations are cap-exempt H-1B employers. Cloud AI Architects are increasingly hired by these entities, offering a path to H-1B status outside the annual lottery entirely.
Frequently Asked Questions
Is Cloud AI Architect a strong H-1B specialty occupation?
Yes. Cloud AI Architect consistently qualifies as a specialty occupation because the role requires a bachelor's degree or higher in computer science, engineering, or a directly related technical field as a standard industry requirement. USCIS approval rates for software and cloud architecture titles are among the highest across all technical occupations, and the degree-to-role alignment is well established in the industry.
Which visa types do Cloud AI Architects typically use for U.S. work authorization?
The H-1B visa is the primary path for most applicants. Australians can use the E-3 visa, which has no lottery and a significantly shorter sponsorship timeline. Canadians and Mexicans may qualify for TN visa status under the USMCA. Applicants with an exceptional portfolio of published research, patents, or industry recognition may also qualify for the O-1A, which has no cap and no lottery.
Does my degree field matter for sponsorship in this role?
It does. USCIS requires that the degree field directly relates to the job's technical duties. Computer science, software engineering, information systems, and electrical engineering are clean matches. If your degree is in a different field, your employer's attorney will need to document the connection through coursework, advanced certifications, or progressive experience. A mismatched degree isn't automatically disqualifying, but it adds complexity to the petition.
How can I find Cloud AI Architect roles where employers are open to sponsorship?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, so you're not applying blindly to roles where sponsorship is unavailable. Cloud AI Architect positions on Migrate Mate come from employers who have indicated willingness to sponsor, which saves significant time compared to manually screening postings and contacting recruiters to confirm sponsorship availability before applying.
Can I switch employers on an H-1B as a Cloud AI Architect?
Yes, and it's one of the more flexible aspects of H-1B status. Your new employer files an H-1B transfer petition, and under portability rules you can begin work with the new employer as soon as the petition is filed, without waiting for approval. The transfer does not reset your priority date or require a new lottery selection, provided your original H-1B was properly approved and you've maintained valid status.
What is the prevailing wage requirement for sponsored Cloud AI Architect jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.