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.
Find Genai Software Engineer JobsOverview
Showing 5 of 107+ Genai Software Engineer jobs
See all 107+ Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Software Engineer roles.
Get Access To All JobsINTRODUCTION
Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
Position Summary:
MUFG is seeking a senior technology leader to help define and drive the future of AI-enabled software engineering within Business Enablement Technology in IT Americas. This Director-level role will lead the strategy, adoption, and organizational integration of generative AI tools across the software development lifecycle.
This is a highly visible and multifaceted leadership role for an experienced technical practitioner and transformation leader who can bridge engineering, architecture, risk, compliance, security, and business stakeholders. The successful candidate will shape how application development teams use GenAI to improve software delivery, modernize engineering practices, and evolve organizational operating models in a controlled, scalable, and enterprise-ready manner.
This role requires deep hands-on credibility in software architecture and development, strong knowledge of the rapidly evolving GenAI coding ecosystem, and the leadership presence to drive cultural and process change across a large banking technology organization.
Key Responsibilities:
GenAI Strategy and Adoption:
- Lead the education, enablement, and adoption of GenAI tools and practices across software development teams within Business Enablement Technology.
- Define and communicate a clear GenAI software engineering strategy and roadmap aligned to organizational priorities, risk standards, and delivery objectives.
- Serve as the senior subject matter expert on the evolving landscape of GenAI for software development, including tooling, models, market direction, and emerging practices within financial services.
Software Development Transformation:
- Evolve software development practices, standards, and team workflows to incorporate and optimize the use of GenAI in the engineering lifecycle.
- Identify and recommend changes to engineering processes, development governance, and delivery models to maximize the value of AI-assisted development.
- Address complex questions related to AI-enabled engineering operating models, including code review approaches, team composition, developer responsibilities, productivity models, and product team interaction patterns.
- Help define what enterprise-grade software delivery should look like in a future where a significant portion of code is AI-generated.
Organizational and Cultural Change Leadership:
- Drive cultural and organizational change required for successful adoption of GenAI development tools at scale.
- Partner with technology leaders and engineering managers to build practical adoption models, capability development plans, and change management approaches.
- Educate and influence both technical and non-technical stakeholders on the opportunities, limitations, and implications of GenAI-enabled software development.
Governance, Risk, Compliance, and Security Alignment:
- Work closely with risk, compliance, and security teams to evolve controls, standards, and oversight frameworks for AI-assisted software development and deployment.
- Help define how software engineering governance must adapt as AI-generated code becomes a significant component of enterprise application delivery.
- Ensure GenAI adoption approaches are aligned with the control environment and regulatory expectations of a large banking institution.
Cross-Functional Partnership and Industry Engagement:
- Engage with central engineering and architecture teams to represent the needs, priorities, and realities of application development teams using GenAI tools.
- Collaborate with peers across application development organizations to share lessons learned, coordinate initiatives, and promote consistency where appropriate.
- Monitor external industry developments, particularly within banking and financial services, and translate those developments into actionable recommendations for the organization.
- Forecast and plan for future changes in the GenAI development landscape and help the organization prepare strategically and operationally.
REQUIRED QUALIFICATIONS:
- 10+ years of experience as a full-stack application architect, designer, and developer using modern languages, frameworks, and software engineering tools.
- Demonstrated expertise in modern software architecture, application design, engineering practices, and enterprise software delivery.
- Deep fluency with current GenAI coding tools, models, and development platforms, and a strong understanding of their practical application in enterprise software engineering.
- Experience building or guiding the delivery of enterprise-grade software systems using GenAI-assisted development approaches.
- Proven experience leading large-scale technical transformation and cultural change initiatives within a complex enterprise environment, preferably in a large and/or global bank.
- Strong understanding of software development governance, risk management, security controls, and compliance considerations within regulated environments.
- Excellent written and verbal communication skills, with the ability to educate, influence, and evangelize technical transformation strategies to senior technical leaders, business leaders, and control partners.
- Strong executive presence, stakeholder management skills, and the ability to lead through influence across matrixed organizations.
PREFERRED QUALIFICATIONS:
- Experience within financial services, banking, or another highly regulated industry.
- Experience establishing or evolving engineering standards, developer platforms, or SDLC frameworks at scale.
- Familiarity with secure software development, model governance considerations, and control frameworks relevant to AI-enabled engineering.
- Experience working across global or multi-regional organizations.
- Demonstrated ability to balance innovation, speed, quality, and control in enterprise technology environments.
IDEAL CANDIDATE PROFILE:
The ideal candidate is both a senior technologist and a transformation leader: someone with deep engineering credibility, strong knowledge of GenAI’s impact on software development, and the judgment to apply that knowledge in a practical, enterprise-ready way. This person should be equally comfortable advising senior executives, influencing engineering teams, and partnering with risk and control functions to shape the future of software delivery in a banking environment.
OTHER:
As per MUFG’s Return to Office policy, a candidate must work onsite for 4 days and 1 day remotely out of Jersey City, NJ.
The typical base pay range for this role is between $212K - $231K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
MUFG Benefits Summary
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.
INTRODUCTION
Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
Position Summary:
MUFG is seeking a senior technology leader to help define and drive the future of AI-enabled software engineering within Business Enablement Technology in IT Americas. This Director-level role will lead the strategy, adoption, and organizational integration of generative AI tools across the software development lifecycle.
This is a highly visible and multifaceted leadership role for an experienced technical practitioner and transformation leader who can bridge engineering, architecture, risk, compliance, security, and business stakeholders. The successful candidate will shape how application development teams use GenAI to improve software delivery, modernize engineering practices, and evolve organizational operating models in a controlled, scalable, and enterprise-ready manner.
This role requires deep hands-on credibility in software architecture and development, strong knowledge of the rapidly evolving GenAI coding ecosystem, and the leadership presence to drive cultural and process change across a large banking technology organization.
Key Responsibilities:
GenAI Strategy and Adoption:
- Lead the education, enablement, and adoption of GenAI tools and practices across software development teams within Business Enablement Technology.
- Define and communicate a clear GenAI software engineering strategy and roadmap aligned to organizational priorities, risk standards, and delivery objectives.
- Serve as the senior subject matter expert on the evolving landscape of GenAI for software development, including tooling, models, market direction, and emerging practices within financial services.
Software Development Transformation:
- Evolve software development practices, standards, and team workflows to incorporate and optimize the use of GenAI in the engineering lifecycle.
- Identify and recommend changes to engineering processes, development governance, and delivery models to maximize the value of AI-assisted development.
- Address complex questions related to AI-enabled engineering operating models, including code review approaches, team composition, developer responsibilities, productivity models, and product team interaction patterns.
- Help define what enterprise-grade software delivery should look like in a future where a significant portion of code is AI-generated.
Organizational and Cultural Change Leadership:
- Drive cultural and organizational change required for successful adoption of GenAI development tools at scale.
- Partner with technology leaders and engineering managers to build practical adoption models, capability development plans, and change management approaches.
- Educate and influence both technical and non-technical stakeholders on the opportunities, limitations, and implications of GenAI-enabled software development.
Governance, Risk, Compliance, and Security Alignment:
- Work closely with risk, compliance, and security teams to evolve controls, standards, and oversight frameworks for AI-assisted software development and deployment.
- Help define how software engineering governance must adapt as AI-generated code becomes a significant component of enterprise application delivery.
- Ensure GenAI adoption approaches are aligned with the control environment and regulatory expectations of a large banking institution.
Cross-Functional Partnership and Industry Engagement:
- Engage with central engineering and architecture teams to represent the needs, priorities, and realities of application development teams using GenAI tools.
- Collaborate with peers across application development organizations to share lessons learned, coordinate initiatives, and promote consistency where appropriate.
- Monitor external industry developments, particularly within banking and financial services, and translate those developments into actionable recommendations for the organization.
- Forecast and plan for future changes in the GenAI development landscape and help the organization prepare strategically and operationally.
REQUIRED QUALIFICATIONS:
- 10+ years of experience as a full-stack application architect, designer, and developer using modern languages, frameworks, and software engineering tools.
- Demonstrated expertise in modern software architecture, application design, engineering practices, and enterprise software delivery.
- Deep fluency with current GenAI coding tools, models, and development platforms, and a strong understanding of their practical application in enterprise software engineering.
- Experience building or guiding the delivery of enterprise-grade software systems using GenAI-assisted development approaches.
- Proven experience leading large-scale technical transformation and cultural change initiatives within a complex enterprise environment, preferably in a large and/or global bank.
- Strong understanding of software development governance, risk management, security controls, and compliance considerations within regulated environments.
- Excellent written and verbal communication skills, with the ability to educate, influence, and evangelize technical transformation strategies to senior technical leaders, business leaders, and control partners.
- Strong executive presence, stakeholder management skills, and the ability to lead through influence across matrixed organizations.
PREFERRED QUALIFICATIONS:
- Experience within financial services, banking, or another highly regulated industry.
- Experience establishing or evolving engineering standards, developer platforms, or SDLC frameworks at scale.
- Familiarity with secure software development, model governance considerations, and control frameworks relevant to AI-enabled engineering.
- Experience working across global or multi-regional organizations.
- Demonstrated ability to balance innovation, speed, quality, and control in enterprise technology environments.
IDEAL CANDIDATE PROFILE:
The ideal candidate is both a senior technologist and a transformation leader: someone with deep engineering credibility, strong knowledge of GenAI’s impact on software development, and the judgment to apply that knowledge in a practical, enterprise-ready way. This person should be equally comfortable advising senior executives, influencing engineering teams, and partnering with risk and control functions to shape the future of software delivery in a banking environment.
OTHER:
As per MUFG’s Return to Office policy, a candidate must work onsite for 4 days and 1 day remotely out of Jersey City, NJ.
The typical base pay range for this role is between $212K - $231K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
MUFG Benefits Summary
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.
See all 107+ Genai Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Software Engineer roles.
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.