J-1 Visa AI Architect Jobs
AI Architect roles in the United States are accessible to international professionals through the J-1 visa under the Trainee or Research Scholar category, depending on your career stage. Designated sponsors issue the DS-2019 form and provide sponsorship, while the U.S. employer serves as your host organization.
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The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
Overview:
The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
See all J-1 Visa AI Architect Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI Architect
Align your credentials to specialty occupation standards
Gather documentation showing your degree maps directly to AI architecture work, including transcripts, credential evaluations, and a portfolio of system design projects. J-1 visa designated sponsors scrutinize this alignment when approving your DS-2019.
Distinguish Trainee from Research Scholar before applying
Trainee category suits early-career AI professionals with under five years of experience. Research Scholar fits those conducting AI research at a university or institute. Applying under the wrong category delays your DS-2019 issuance and can derail your timeline.
Search for J-1 host employers using Migrate Mate
Filter by role and visa type on Migrate Mate to surface U.S. employers actively hosting J-1 exchange visitors in technical and AI-focused positions, saving you from cold-applying to companies unfamiliar with the host organization process.
Draft your training plan before contacting employers
J-1 Trainee programs require a completed Form DS-7002 outlining objectives, skills, and supervision. Arriving at employer conversations with a draft training plan signals readiness and speeds up the host organization agreement process.
Confirm the employer will sign a host organization agreement
Your hiring manager may not know that as a J-1 host, their company must execute a formal agreement with your designated sponsor, such as AIPT or Cultural Vistas. Raise this early so legal or HR teams aren't blindsided after an offer.
Check your two-year home residency requirement status upfront
AI Architect roles in government-funded research environments often trigger the two-year home residency requirement under INA 212(e). Confirm your status before accepting an offer, since the requirement affects any future H-1B visa or green card path.
AI Architect J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Architect role?
Most AI Architects enter the U.S. under the Trainee category if they have fewer than five years of post-degree professional experience, or the Research Scholar category if they are conducting AI research at a university, national laboratory, or research institute. The Specialist category occasionally applies for highly experienced practitioners invited for a specific knowledge-transfer engagement. Your designated sponsor determines which category fits your situation based on your background and the host employer's program.
Who actually sponsors the J-1 visa for an AI Architect position?
The visa sponsor is a U.S. Department of State-designated organization, such as AIPT, Cultural Vistas, or IIE, not the employer itself. The employer is the host organization. The designated sponsor issues your DS-2019, reviews your training plan, and monitors program compliance throughout your exchange. When evaluating a job offer, confirm which designated sponsor the employer works with and that the sponsor is authorized for the Trainee or Research Scholar category.
How do I find U.S. employers open to hosting J-1 AI Architects?
Most employers don't advertise J-1 host status in job postings. Migrate Mate lets you filter roles and employers by visa type, surfacing companies already familiar with J-1 host obligations for technical positions. Targeting employers with existing J-1 hosting experience dramatically shortens the time from offer to DS-2019 issuance, since those companies have already executed host organization agreements with a designated sponsor.
Does the J-1 visa for AI Architect roles have an annual cap or lottery?
No. The J-1 visa has no annual cap and no lottery, unlike the H-1B. Designated sponsors can issue DS-2019 forms year-round, so your start date is driven by program approval timelines and consular appointment availability rather than a fixed filing window. Processing from DS-2019 issuance to visa stamp typically runs four to eight weeks, though consular wait times vary by country.
Can the two-year home residency requirement affect my AI Architect career path?
Yes. If your J-1 exchange is funded by your home government or a U.S. government agency, or if your home country appears on the State Department skills list for your occupation, you may be subject to the two-year home residency requirement under INA 212(e). This bars you from changing to H-1B or L-1 visa status, or applying for a green card, until you satisfy the requirement or obtain a waiver. Confirm your status with your designated sponsor before accepting any host organization offer.