STEM OPT Generative AI Engineer Jobs
Generative AI Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code in computer science, electrical engineering, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan in place before your extension start date.
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The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in January 2026. If you are looking for a Summer start date, please keep an eye on our website for openings early next year.
Responsibilities:
NOTE: There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
Qualifications
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
Mental Requirements:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
Compensation:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 1/7/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/7/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
LI-remote
intern
Overview:
The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in January 2026. If you are looking for a Summer start date, please keep an eye on our website for openings early next year.
Responsibilities:
NOTE: There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
Qualifications
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
Mental Requirements:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
Compensation:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 1/7/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/7/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
LI-remote
intern
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Generative AI Engineer
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against the DHS STEM designated degree program list before targeting roles. Computer science, computer engineering, and applied mathematics codes are the most common matches for Generative AI Engineer positions, but data science and statistics codes qualify too.
Confirm E-Verify enrollment before negotiating offers
Run every prospective employer through the E-Verify employer search tool before you reach the offer stage. Startups and smaller AI labs frequently aren't enrolled, and discovering this after a verbal offer costs you time you don't have on a ticking OPT clock.
Build an I-983 training plan around your ML stack
Draft your I-983 training objectives around specific model architectures, fine-tuning pipelines, and deployment frameworks you'll work with. Vague goals like 'gain AI experience' invite DSO pushback; tying objectives to measurable deliverables like production model releases makes approval faster.
Target employers with active H-1B filing history
Use Migrate Mate to filter Generative AI Engineer roles by employers with verified DOL Labor Condition Application filings. Companies that have sponsored H-1B petitions in AI and machine learning roles are structurally set up to support your OPT-to-H-1B transition and understand the filing timeline.
Use OFLC Wage Search to anchor your salary ask
Look up the prevailing wage for your specific SOC code and geographic area in the OFLC Wage Search before any compensation conversation. Employers filing an LCA must meet that wage floor, so knowing it prevents you from inadvertently negotiating below what they're legally required to pay.
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Find Generative AI Engineer JobsFrequently Asked Questions
Does a Generative AI Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, electrical engineering, data science, or applied mathematics. The role itself doesn't trigger eligibility; your degree's CIP code does. Confirm your code appears on the DHS STEM designated degree program list before applying for the extension through your DSO.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension start date. Enrollment isn't the same as participation in a past hiring cycle; you need to confirm current active status. If the employer isn't enrolled, they can't lawfully employ you on a STEM OPT extension, regardless of how the offer is structured.
What goes into an I-983 training plan for a Generative AI Engineer?
The I-983 must describe specific learning objectives tied to your STEM degree, the supervision structure, and how the role provides practical training in your field. For a Generative AI Engineer, that means documenting work with large language models, training pipelines, evaluation frameworks, or deployment infrastructure in concrete terms. Both you and your employer sign it, and your DSO reviews it before submission.
How does cap-gap protection work if my H-1B is selected during my STEM OPT extension?
If your STEM OPT EAD is still valid when your H-1B petition is filed before April 1 and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. You don't file anything separately for cap-gap; it's triggered by the timely filed H-1B petition. USCIS issues guidance on cap-gap each fiscal year cycle.
Where can I find Generative AI Engineer jobs at E-Verify enrolled employers?
Migrate Mate filters Generative AI Engineer listings by employers with verified DOL LCA filing history, which signals both E-Verify enrollment and prior experience sponsoring work authorization. That lets you focus your applications on companies already equipped to support your STEM OPT timeline rather than discovering compliance gaps after a hiring process.
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