J-1 Visa AI Solution Architect Jobs
AI Solution Architect roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category, depending on your career stage. A designated sponsor organization issues your DS-2019, while the U.S. employer serves as your host organization.
Find J-1 Visa AI Solution Architect JobsOverview
Showing 4 of 5+ AI Solution Architect jobs
See all AI Solution Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Solution Architect roles.
Get Access To All JobsINTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
INTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
See all J-1 Visa AI Solution Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Solution Architect Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI Solution Architect
Document your architecture credentials precisely
Gather certifications, project portfolios, and degree transcripts that tie directly to AI and enterprise architecture work. J-1 visa Trainee and Research Scholar categories require your background to match the proposed training or research program field exactly.
Target host employers with existing J-1 infrastructure
Prioritize technology companies and research institutions that have previously hosted J-1 exchange visitors. Employers already familiar with host organization obligations move faster and rarely withdraw offers over DS-2019 compliance questions.
Search open roles using Migrate Mate
Use Migrate Mate to filter AI Solution Architect positions by employers with J-1 sponsorship history. It surfaces host organizations actively open to exchange visitors, saving you the effort of manually screening job listings.
Match your J-1 category to your career stage
Apply under the Trainee category if you graduated within the last 12 months or have under five years of post-degree experience. The Research Scholar category fits senior professionals joining a university lab or research institute in an architecture or AI systems capacity.
Build a training plan tied to AI architecture deliverables
Your designated sponsor requires a detailed Training or Internship Placement Plan. Structure it around concrete AI milestones, such as deploying a production model pipeline or designing a cloud-native inference architecture, rather than generic learning objectives.
Clarify the two-year home residency rule before accepting
Some J-1 Research Scholar and Specialist placements carry a two-year home residency requirement, which bars direct transition to H-1B visa or green card status until fulfilled or waived. Confirm with your sponsor whether your specific program is subject to this obligation.
AI Solution Architect J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Solution Architect role?
It depends on your career stage. Recent graduates or professionals within five years of completing a degree typically qualify under the Trainee category. Senior architects joining a university research group or a federally affiliated research center generally apply under the Research Scholar or Specialist category. The Intern category applies only to enrolled students completing a curriculum-related placement.
Who actually sponsors the J-1 visa for this role, the employer or someone else?
The J-1 visa sponsor is a U.S. Department of State-designated organization, not the hiring employer. Organizations such as IIE, Cultural Vistas, and CIEE issue the DS-2019 form and monitor program compliance. The technology company or research institute where you work is the host organization. The employer must agree to the training plan requirements the designated sponsor sets, but it does not hold sponsoring authority itself.
How do I find host employers open to J-1 AI Solution Architect candidates?
Migrate Mate lets you search for AI Solution Architect positions at organizations with documented J-1 sponsorship activity. Filtering by sponsorship type surfaces employers already familiar with hosting exchange visitors, which shortens the vetting process considerably. Avoid relying on general job boards that don't surface sponsorship history, since most standard listings don't flag J-1 compatibility at all.
Does the two-year home residency requirement apply to AI architect positions?
It can. The two-year home residency requirement applies to certain J-1 categories based on factors including your home country, government funding of your exchange, and the specific program category. Trainee placements at private companies are less commonly subject to this requirement than Research Scholar placements funded by your home government or a U.S. government agency. Your designated sponsor confirms applicability before issuing the DS-2019.
What should the J-1 training plan include for an AI Solution Architect?
The training plan must detail the specific skills and competencies you will develop, the methods and supervision structure, and a phase-by-phase schedule. For AI architecture roles, this typically covers areas like large language model integration, MLOps pipeline design, cloud infrastructure architecture, and stakeholder requirement analysis. Generic descriptions of software development tasks are routinely rejected by designated sponsors reviewing technical placements.