OPT Generative AI Engineer Jobs
Generative AI Engineer jobs are among the most actively sponsored OPT roles in tech right now. Employers filing H-1B visa petitions for this title have surged over the past two years, making it a strong fit for F-1 students on STEM OPT extensions. Most roles qualify under computer science or electrical engineering degree fields.
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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.
As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science, MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team. This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential.
- Design, develop, and implement AI/ML models and algorithms to solve complex problems.
- Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
- Train, evaluate, and tune various machine learning models.
- Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Document code, experiments, and results clearly and concisely.
- Collaborate effectively with other engineers within the team.
- Ability to work within an agile development model working closely with a product manager and other engineers.
Minimum Requirements:
- Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 3+ years of experience of analytical methods and their proper application
- 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
- MUST HAVE experience using Gen AI technologies.
- Experience using Cloud Platforms and AI Platforms.
Preferred Requirements:
- Working knowledge of GCP.
- Expertise in open-source data science technologies such as Python, R, Spark, SQL.
- Conceptual understanding of data pipelines and MLOps.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a range of salary grades 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is available for this position.
Domestic relocation is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-PW1
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.
As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science, MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team. This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential.
- Design, develop, and implement AI/ML models and algorithms to solve complex problems.
- Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
- Train, evaluate, and tune various machine learning models.
- Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Document code, experiments, and results clearly and concisely.
- Collaborate effectively with other engineers within the team.
- Ability to work within an agile development model working closely with a product manager and other engineers.
Minimum Requirements:
- Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 3+ years of experience of analytical methods and their proper application
- 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
- MUST HAVE experience using Gen AI technologies.
- Experience using Cloud Platforms and AI Platforms.
Preferred Requirements:
- Working knowledge of GCP.
- Expertise in open-source data science technologies such as Python, R, Spark, SQL.
- Conceptual understanding of data pipelines and MLOps.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a range of salary grades 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is available for this position.
Domestic relocation is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-PW1
See all OPT Generative AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Generative AI Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Generative AI Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are far more likely to sponsor again. This filing history is public record and signals genuine sponsorship infrastructure, not just intent.
Lead with your model fine-tuning experience
Hiring managers for generative AI roles prioritize hands-on work with large language models. Specify the models you've fine-tuned, the frameworks you used, and the downstream tasks your work improved. Vague AI experience won't move your resume forward.
Clarify your OPT timeline upfront with recruiters
STEM OPT gives you up to three years of work authorization. Telling recruiters your exact end date and H-1B visa eligibility window removes ambiguity and helps them assess sponsorship timing before investing in interviews.
Prioritize startups backed by major AI investors
Well-funded AI startups often move faster on sponsorship decisions than large enterprises. Companies backed by established venture firms typically have legal counsel already familiar with H-1B filings for engineering roles.
Build a public portfolio of generative AI projects
A GitHub repository or demo application showing retrieval-augmented generation, prompt engineering, or multimodal model work gives hiring managers something concrete to evaluate before your interview, which reduces perceived sponsorship risk.
Frame your degree field precisely on applications
Generative AI Engineer roles qualify as specialty occupations under computer science, electrical engineering, or mathematics. State your degree field explicitly on applications and in interviews so employers understand the OPT authorization is already well-established for this role.
Generative AI Engineer OPT: Frequently Asked Questions
Do Generative AI Engineer roles qualify for STEM OPT extension?
Yes. Generative AI Engineer positions fall under CIP codes tied to computer science, electrical engineering, and related STEM fields, which are all on the STEM OPT designated degree program list. If your degree is in one of those fields, you're eligible for the 24-month STEM OPT extension on top of your initial 12-month OPT period, giving you up to three years of work authorization.
How hard is it to find a Generative AI Engineer job that sponsors OPT?
Generative AI is one of the fastest-growing engineering disciplines, and employer demand has outpaced domestic supply consistently over the past two years. Many companies actively recruiting for these roles already have H-1B sponsorship infrastructure in place. Migrate Mate filters job listings specifically for OPT-sponsoring employers, so you're not wading through postings that will reject you at the authorization question.
What degree fields support OPT authorization for Generative AI Engineer roles?
Computer science, electrical engineering, mathematics, statistics, and data science degrees all commonly support OPT authorization for generative AI positions. USCIS evaluates whether a direct relationship exists between your degree field and the job duties. For generative AI roles involving model training, fine-tuning, and deployment, computer science and electrical engineering degrees have the clearest precedent.
Can I work as a Generative AI Engineer at a startup on OPT?
Yes, with one important caveat: the employer must sign your STEM OPT I-983 training plan and meet the E-Verify requirement. Startups are eligible sponsors as long as they're enrolled in E-Verify. Many well-funded AI startups already meet this requirement. Confirm E-Verify enrollment before accepting an offer, because without it your STEM OPT extension cannot be authorized.
What should I look for in a Generative AI Engineer job posting to assess sponsorship likelihood?
Look for explicit H-1B or OPT sponsorship language in the posting, E-Verify enrollment, and prior LCA filings for similar roles. Companies that mention visa sponsorship availability, even briefly, are signaling existing infrastructure. Postings that say 'must be authorized to work without sponsorship' are disqualifying. Filtering by sponsorship-open employers from the start saves significant time.