OPT AI Solution Architect Jobs
AI Solution Architect jobs are strong OPT candidates because employers filing H-1B visa petitions for this role consistently cite computer science, engineering, or information systems degrees. STEM OPT extensions apply, giving you up to three years of work authorization to secure long-term sponsorship.
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The Florida Atlantic University Charles E. Schmidt College of Medicine’s, Department of Population Health, is recruiting a visionary faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI-driven initiatives that advance population health, health equity, healthcare delivery, biomedical and community-engaged research. This role offers the opportunity to advance AI applications, machine learning, data science and predictive analytics to address complex public health challenges, improve health outcomes, optimize healthcare systems, enhance biomedical research, innovate clinical research, and develop next-generation graduate and medical education. The successful candidate will serve as a catalyst for cross-disciplinary collaboration, advancing discovery, and improving health outcomes on a broad scale.
The mission of the Schmidt College of Medicine as a community-based medical school is to advance the health and well-being of our community by training future generations of humanistic clinicians and scientists and translating discoveries to patient-centered care. We are committed to providing educational programs that enable our trainees to become active, self-directed, lifelong learners who understand the centrality of collaborative relationships in healthcare research and delivery. We are looking for someone with visionary thinking and a passion for ultimately advancing scientific knowledge and healthcare delivery.
The successful candidate will lead and contribute to cutting-edge research, education, and strategic initiatives at the intersection of artificial intelligence, population health, public health, healthcare delivery, and health services research.
Key Responsibilities
- Research & Innovation
- Collaborate with researchers throughout the College and University to integrate AI into ongoing translational and clinical projects. Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations.
- Contribute to institutional AI strategic efforts.
- Develop, lead, and sustain a competitive, externally funded research program (e.g., NIH, NSF, DoD, industry) applying AI/ML methodologies across cutting edge research including observational, clinical, community-based, health services research projects and health outcomes research.
- Disseminate findings in high-impact journals and at national and/or international conferences.
- Graduate Education & Curriculum Development
- Design, implement, and evaluate AI-focused coursework for graduate, medical, and health professional education.
- Mentor College of Medicine graduate students, medical students, residents, postdocs, and faculty in the development, utilization and policies of AI methodologies in healthcare, clinical, population health, public health, or biomedical research settings.
- Embed AI modules into existing core and elective courses in the College of Medicine.
- Serve as a resource for developing new educational programs in the College of Medicine.
- College-wide Service & Collaboration
- Serve as an AI resource for faculty and researchers, offering expertise and guidance on data science integration across departments.
- Partner with program directors to identify AI integration opportunities in existing and future graduate curricula.
- Contribute to departmental, college, and university committees, and participate in strategic AI-related initiatives and help shape the College’s AI strategy.
- Build and sustain partnerships with industry, government agencies, and academic collaborators to foster AI-driven research, training, and innovation.
- Collaborate with clinical partners to develop learning health systems initiatives that narrow the gap between evidence and practice.
Minimum Qualifications:
- Ph.D., M.D., or equivalent degree or experience in applying artificial intelligence, machine learning, or advanced analytics in healthcare, clinical, population health, public health, or biomedical research settings.
- Demonstrated AI and/or machine learning expertise with relevance to biomedical, public health, or clinical challenges.
- Strong research publication record and proven (for senior roles) or potential (for junior roles) success in obtaining external funding, publications, and successful mentoring of junior faculty, postdoctoral fellows, and/or graduate students.
- Commitment to interdisciplinary collaboration and educational excellence.
- Working knowledge of ethical, regulatory, privacy, and governance considerations related to the use of AI in healthcare and biomedical research, including data security, bias mitigation, and responsible AI practices.
- Experience working with healthcare data sources, such as electronic health records (EHRs), claims data, registries, clinical research datasets, or population health databases.
Preferred Qualifications
- Experience developing, implementing, evaluating, or advising on AI governance frameworks, policies, standards, or best practices within healthcare, public health, academic medical centers, government agencies, or healthcare organizations.
- Experience applying AI and machine learning methodologies to public health, population health management, health equity, healthcare operations, quality improvement, or community health initiatives.
- Demonstrated success translating AI innovations into real-world clinical, public health, or healthcare delivery environments.
- Experience collaborating with healthcare systems, public health agencies, community organizations, or other external stakeholders on AI-driven initiatives.
- Expertise in emerging areas of AI in healthcare, including generative AI, large language models, clinical decision support, predictive analytics, precision medicine, digital health, and learning health systems.
- Experience evaluating the ethical, legal, regulatory, and societal implications of AI technologies in healthcare and public health settings.
- Knowledge of federal and state policies, guidance, and evolving best practices related to the deployment of AI in healthcare and public health environments.
- Documented success in cross-disciplinary collaboration and research between basic science and clinical faculty.
- Engagement in curriculum development or AI educational programming in health sciences.
Salary:
Commensurate with Experience
College or Department:
Charles E. Schmidt College of Medicine
Location:
Boca Raton
Work Days and Hours:
N/A
Application Deadline:
2026-11-30
Special Instructions to Applicant:
This is a research or research-related support position. As required by Florida Statutes Section 1010.35, a Foreign Influence Screening may be required.
This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU’s Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a cover letter and curriculum vitae.
Transcripts:
The selected candidate for this position is required to submit an official transcript sent directly from the institution for the Provost’s credential file prior to the first day of employment. Similarly, for degrees from outside the United States, the evaluation by an organization belonging to the National Association of Credential Evaluation (NACES), with an indication of the documents the evaluation was prepared from (official transcripts, diplomas, dissertation abstracts) is required for the Provost’s credential file prior to the first day of employment. Transcripts must be issued to Florida Atlantic University, not to the individual applicant.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. 711
Position Summary:
The Florida Atlantic University Charles E. Schmidt College of Medicine’s, Department of Population Health, is recruiting a visionary faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI-driven initiatives that advance population health, health equity, healthcare delivery, biomedical and community-engaged research. This role offers the opportunity to advance AI applications, machine learning, data science and predictive analytics to address complex public health challenges, improve health outcomes, optimize healthcare systems, enhance biomedical research, innovate clinical research, and develop next-generation graduate and medical education. The successful candidate will serve as a catalyst for cross-disciplinary collaboration, advancing discovery, and improving health outcomes on a broad scale.
The mission of the Schmidt College of Medicine as a community-based medical school is to advance the health and well-being of our community by training future generations of humanistic clinicians and scientists and translating discoveries to patient-centered care. We are committed to providing educational programs that enable our trainees to become active, self-directed, lifelong learners who understand the centrality of collaborative relationships in healthcare research and delivery. We are looking for someone with visionary thinking and a passion for ultimately advancing scientific knowledge and healthcare delivery.
The successful candidate will lead and contribute to cutting-edge research, education, and strategic initiatives at the intersection of artificial intelligence, population health, public health, healthcare delivery, and health services research.
Key Responsibilities
- Research & Innovation
- Collaborate with researchers throughout the College and University to integrate AI into ongoing translational and clinical projects. Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations.
- Contribute to institutional AI strategic efforts.
- Develop, lead, and sustain a competitive, externally funded research program (e.g., NIH, NSF, DoD, industry) applying AI/ML methodologies across cutting edge research including observational, clinical, community-based, health services research projects and health outcomes research.
- Disseminate findings in high-impact journals and at national and/or international conferences.
- Graduate Education & Curriculum Development
- Design, implement, and evaluate AI-focused coursework for graduate, medical, and health professional education.
- Mentor College of Medicine graduate students, medical students, residents, postdocs, and faculty in the development, utilization and policies of AI methodologies in healthcare, clinical, population health, public health, or biomedical research settings.
- Embed AI modules into existing core and elective courses in the College of Medicine.
- Serve as a resource for developing new educational programs in the College of Medicine.
- College-wide Service & Collaboration
- Serve as an AI resource for faculty and researchers, offering expertise and guidance on data science integration across departments.
- Partner with program directors to identify AI integration opportunities in existing and future graduate curricula.
- Contribute to departmental, college, and university committees, and participate in strategic AI-related initiatives and help shape the College’s AI strategy.
- Build and sustain partnerships with industry, government agencies, and academic collaborators to foster AI-driven research, training, and innovation.
- Collaborate with clinical partners to develop learning health systems initiatives that narrow the gap between evidence and practice.
Minimum Qualifications:
- Ph.D., M.D., or equivalent degree or experience in applying artificial intelligence, machine learning, or advanced analytics in healthcare, clinical, population health, public health, or biomedical research settings.
- Demonstrated AI and/or machine learning expertise with relevance to biomedical, public health, or clinical challenges.
- Strong research publication record and proven (for senior roles) or potential (for junior roles) success in obtaining external funding, publications, and successful mentoring of junior faculty, postdoctoral fellows, and/or graduate students.
- Commitment to interdisciplinary collaboration and educational excellence.
- Working knowledge of ethical, regulatory, privacy, and governance considerations related to the use of AI in healthcare and biomedical research, including data security, bias mitigation, and responsible AI practices.
- Experience working with healthcare data sources, such as electronic health records (EHRs), claims data, registries, clinical research datasets, or population health databases.
Preferred Qualifications
- Experience developing, implementing, evaluating, or advising on AI governance frameworks, policies, standards, or best practices within healthcare, public health, academic medical centers, government agencies, or healthcare organizations.
- Experience applying AI and machine learning methodologies to public health, population health management, health equity, healthcare operations, quality improvement, or community health initiatives.
- Demonstrated success translating AI innovations into real-world clinical, public health, or healthcare delivery environments.
- Experience collaborating with healthcare systems, public health agencies, community organizations, or other external stakeholders on AI-driven initiatives.
- Expertise in emerging areas of AI in healthcare, including generative AI, large language models, clinical decision support, predictive analytics, precision medicine, digital health, and learning health systems.
- Experience evaluating the ethical, legal, regulatory, and societal implications of AI technologies in healthcare and public health settings.
- Knowledge of federal and state policies, guidance, and evolving best practices related to the deployment of AI in healthcare and public health environments.
- Documented success in cross-disciplinary collaboration and research between basic science and clinical faculty.
- Engagement in curriculum development or AI educational programming in health sciences.
Salary:
Commensurate with Experience
College or Department:
Charles E. Schmidt College of Medicine
Location:
Boca Raton
Work Days and Hours:
N/A
Application Deadline:
2026-11-30
Special Instructions to Applicant:
This is a research or research-related support position. As required by Florida Statutes Section 1010.35, a Foreign Influence Screening may be required.
This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU’s Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a cover letter and curriculum vitae.
Transcripts:
The selected candidate for this position is required to submit an official transcript sent directly from the institution for the Provost’s credential file prior to the first day of employment. Similarly, for degrees from outside the United States, the evaluation by an organization belonging to the National Association of Credential Evaluation (NACES), with an indication of the documents the evaluation was prepared from (official transcripts, diplomas, dissertation abstracts) is required for the Provost’s credential file prior to the first day of employment. Transcripts must be issued to Florida Atlantic University, not to the individual applicant.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. 711
See all 345+ OPT AI Solution Architect Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in AI Solution Architect
Target enterprises with dedicated AI transformation programs
Large enterprises actively building out AI capabilities, such as financial institutions, healthcare systems, and technology consultancies, are far more likely to have established H-1B visa sponsorship pipelines than startups still defining their AI strategy.
Frame your degree field explicitly in applications
AI Solution Architect roles require a specialty occupation connection to your degree. Explicitly reference your computer science, engineering, or information systems background in your resume and cover letter to make the H-1B eligibility case obvious to hiring managers.
Demonstrate measurable business impact, not just technical depth
Solution architects sit at the business-technology interface. Employers sponsor roles that are hard to fill. Quantify how your AI solutions reduced costs, improved efficiency, or generated revenue to justify the sponsorship investment in your profile.
Prioritize employers with prior H-1B LCA filings for this role
Companies that have previously filed Labor Condition Applications for AI Solution Architect or related titles have already navigated the sponsorship process. This dramatically reduces friction when they consider sponsoring a new hire on OPT.
Build credibility with cloud and vendor certifications
AWS, Google Cloud, and Microsoft Azure solution architect certifications signal role-specific expertise that employers value. Certified candidates are easier for employers to justify sponsoring because the credentials remove ambiguity about your qualifications.
Start H-1B conversations before your OPT year ends
The H-1B lottery runs once per year with an October start date. If your OPT expires in a gap year, you need a STEM extension in place. Raise the sponsorship timeline with employers at the offer stage, not six months later.
AI Solution Architect OPT: Frequently Asked Questions
Does an AI Solution Architect role qualify as a specialty occupation for H-1B sponsorship?
Yes, AI Solution Architect roles consistently qualify as specialty occupations because they require a theoretical and practical application of highly specialized knowledge, typically in computer science, information systems, or engineering. USCIS has approved H-1B petitions for this title across consulting firms, cloud providers, and enterprise technology teams. The key is that the job description must require, not merely prefer, a specific bachelor's degree or higher.
Can I work as an AI Solution Architect on F-1 OPT without employer sponsorship right away?
Yes. F-1 OPT authorizes you to work in a role directly related to your degree field for up to 12 months, with a 24-month STEM extension available if your degree qualifies. You can start working as an AI Solution Architect on day one of your OPT period. Sponsorship only becomes necessary when you need to transition to a longer-term visa status like the H-1B. Browse current OPT-eligible AI Solution Architect openings on Migrate Mate.
Which industries hire AI Solution Architects who are willing to sponsor OPT-to-H-1B transitions?
Financial services, healthcare technology, cloud consulting, and large enterprise software companies file the highest volumes of H-1B petitions for solution architect and AI-adjacent roles. Management consulting firms such as Accenture, Deloitte, and IBM have well-established immigration programs. Government contractors with cleared AI programs are a less obvious but active source of sponsorship, particularly for candidates with strong machine learning and systems integration backgrounds.
Does a STEM OPT extension apply to AI Solution Architect positions?
It depends on your underlying degree, not the job title. If your degree is in computer science, computer engineering, information technology, or a related CIP-classified STEM field, you qualify for the 24-month STEM OPT extension regardless of what the role is called. AI Solution Architect is a strong fit because the work is inherently technical. Your employer also needs to be enrolled in E-Verify to support a STEM extension, which most large technology employers already are.
What makes an AI Solution Architect profile more attractive to sponsoring employers?
Employers weigh the cost and administrative burden of sponsorship against how difficult the role is to fill domestically. A strong AI Solution Architect profile combines depth in at least one major cloud platform, demonstrated experience translating business problems into AI architecture decisions, and a portfolio of delivered solutions. Candidates who can show measurable outcomes, reduced infrastructure costs, faster model deployment cycles, or improved system reliability, are meaningfully easier for employers to build a sponsorship case around.