Genai Software Engineer Jobs in USA with Visa Sponsorship
GenAI Software Engineer roles are among the most actively sponsored positions in tech right now. Employers filing H-1B visa petitions for this title consistently cite computer science or a related engineering field as the qualifying degree, making it a strong fit for international candidates on OPT or seeking cap-subject sponsorship. For detailed occupation requirements, see the O*NET profile.
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VP, DATA SCIENCE - GenAI Technology
The Role
This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team.
You Will Have
- PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience.
- Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production.
- Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software.
- Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools.
- Experience taking an application from research to production and realizing measurable value from it to the team or firm.
- Ability to work on and drive progress for multiple projects or initiatives at the same time.
- Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions.
- Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results.
- Excellent planning, project management, communication, leadership, and research skills.
- Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations.
- Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges.
The Team
We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space.
Compensation
- The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Data Analytics and Insights
Job Description
VP, DATA SCIENCE - GenAI Technology
The Role
This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team.
You Will Have
- PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience.
- Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production.
- Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software.
- Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools.
- Experience taking an application from research to production and realizing measurable value from it to the team or firm.
- Ability to work on and drive progress for multiple projects or initiatives at the same time.
- Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions.
- Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results.
- Excellent planning, project management, communication, leadership, and research skills.
- Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations.
- Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges.
The Team
We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space.
Compensation
- The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications
Category: Data Analytics and Insights
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Get Access To All JobsTips for Finding Visa Sponsorship as a Genai Software Engineer
Lead with your GenAI stack, not just 'ML experience'
Employers sponsoring GenAI roles want specificity. Name the frameworks you've worked with, such as LangChain, LlamaIndex, or the OpenAI API. Vague references to machine learning experience won't differentiate you in a competitive sponsorship pipeline.
Target companies with active H-1B filing histories
Not every employer that posts a GenAI role will sponsor visas. Focus on companies with documented H-1B filings in this job category. Migrate Mate filters sponsoring employers directly, saving you from applying to roles that will never move forward.
Clarify your OPT or STEM OPT timeline upfront
If you're on F-1 OPT, tell recruiters your authorization end date and whether you qualify for the 24-month STEM extension. GenAI hiring cycles can run three to five months, so timeline transparency prevents late-stage offers falling through.
Align your degree field to the specialty occupation standard
H-1B approval for GenAI engineers requires your degree to relate directly to the role. Computer science, electrical engineering, and applied mathematics are the most defensible fields. Unrelated degrees need strong supplementary evidence to satisfy USCIS specialty occupation criteria.
Negotiate cap-exempt or cap-exempt affiliated employers
Universities, nonprofit research institutes, and their affiliates are exempt from the H-1B lottery. GenAI research roles at these institutions can be filed any time of year, giving you sponsorship access completely outside the annual April lottery cycle.
Prepare a portfolio of production-grade GenAI work
Visa officers and hiring managers both scrutinize whether the role genuinely requires a specialist. Documented work, such as deployed RAG pipelines, fine-tuned models, or agentic systems in production, substantiates the specialty occupation claim and strengthens your petition.
Frequently Asked Questions
Do companies actually sponsor H-1B visas for GenAI Software Engineer roles?
Yes, and at a high rate relative to most engineering titles. GenAI engineering sits squarely within the specialty occupation definition because the role requires a specific theoretical and practical background in machine learning, large language models, or AI systems. Companies ranging from early-stage startups to large technology employers have filed H-1B visa petitions under this and closely related job titles. Migrate Mate lists only employers who are actively willing to sponsor, so you can browse verified opportunities without filtering manually.
What degree do I need for H-1B sponsorship as a GenAI Software Engineer?
A bachelor's degree or higher in computer science, software engineering, mathematics, or a closely related quantitative field satisfies the H-1B specialty occupation requirement for most GenAI roles. Degrees in physics or statistics are generally accepted when paired with demonstrated AI work. If your degree is in an unrelated field, you may still qualify by combining a two-year degree with six years of progressive, specialized GenAI experience under the three-for-one equivalency rule, though this path requires stronger documentation.
How does the H-1B lottery affect my chances of sponsorship in this field?
The H-1B lottery applies to cap-subject petitions regardless of job title. In recent fiscal years, the overall selection rate for the regular cap has been roughly 25 to 30 percent, meaning most registrations go unselected in any given year. For GenAI engineers, two lottery-exempt paths are worth pursuing in parallel: roles at universities or nonprofit research institutions, and L-1 visa transfers if you're already employed abroad by a company with a U.S. entity.
Can I get sponsored on OPT before the H-1B lottery as a GenAI engineer?
Yes. If you graduated from a U.S. university in a STEM field, your initial 12-month OPT period plus the 24-month STEM extension gives you up to three years of work authorization. That window typically covers at least two H-1B lottery cycles, meaning you have more than one opportunity to be selected. Some GenAI employers will also file an O-1A petition if your research contributions, publications, or deployed systems meet the extraordinary ability threshold, bypassing the lottery entirely.
Is the O-1A visa a realistic alternative for GenAI Software Engineers?
For candidates with a strong public profile in AI, it can be. USCIS evaluates O-1A petitions against criteria including published research, speaking at recognized conferences, contributions to open-source projects with significant adoption, or compensation in the top tier for the field. GenAI engineers who have co-authored papers, contributed to widely used frameworks, or built systems cited in industry literature are reasonable candidates. It is not a fit for early-career engineers without documented external recognition.
What is the prevailing wage requirement for sponsored Genai Software Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.