H-1B Visa Generative AI Engineer Jobs
Generative AI Engineer roles sit squarely within H-1B visa specialty occupation requirements, typically classified under SOC codes for software developers or computer and information research scientists. Employers filing LCAs for these positions must meet DOL prevailing wage standards, and the annual H-1B cap means timing your job search around the April lottery window matters.
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Get Access To All JobsROLE: Senior Python Generative AI Engineer – Agentic AI and RAG
Location: DFW, TX
Client: American Airlines
Description: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
- Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices
- Solves technical problems and builds components/libraries with far-ranging impact
- Delivers high-quality work and coaches more junior engineers on technical craftsmanship
- Conducts root cause analysis to identify systemic problems and defines and leads execution of action items to address
- Designs thoughtfully integrated systems that model organizational best practices, allowing disparate teams across product domains to deliver value with speed, scale, and reliability
- Oversees the management of technical debt in existing systems and drives opportunities to eliminate within ongoing implementations
- Consistently anticipates scaling, latency, and durability challenges and guides teams in implementation of mitigating strategies
- Partners with the security organization to incorporate security conscious practices early in the lifecycle of new systems
- Thoughtfully evaluates technical risks and guides toward practical prevention strategies
- Consistently reflects on squad delivery practices throughout their span of influence, recommends improvements to leadership and drives their implementation
- Maintains a focus on removing the duplication of effort across teams and proactively identifies opportunities for reuse within their span of influence
- Thoughtfully measures and assesses team and identifies areas of development for individuals
- Explores emerging technologies, leads development of prototypes with little or no guidance and incorporates into architectural solutions where appropriate
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 7+ years of experience designing, developing, and implementing large-scale solutions in production environments
TOP REQUIREMENTS:
- Python
- Agentic AI
- RAG
- Lang Graph
NICE TO HAVE SKILLS AND EXPERIENCE:
- Java
- Cloud Technologies (Kubernetes)
- GitHub Actions
- Travel domain knowledge
ROLE: Senior Python Generative AI Engineer – Agentic AI and RAG
Location: DFW, TX
Client: American Airlines
Description: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
- Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices
- Solves technical problems and builds components/libraries with far-ranging impact
- Delivers high-quality work and coaches more junior engineers on technical craftsmanship
- Conducts root cause analysis to identify systemic problems and defines and leads execution of action items to address
- Designs thoughtfully integrated systems that model organizational best practices, allowing disparate teams across product domains to deliver value with speed, scale, and reliability
- Oversees the management of technical debt in existing systems and drives opportunities to eliminate within ongoing implementations
- Consistently anticipates scaling, latency, and durability challenges and guides teams in implementation of mitigating strategies
- Partners with the security organization to incorporate security conscious practices early in the lifecycle of new systems
- Thoughtfully evaluates technical risks and guides toward practical prevention strategies
- Consistently reflects on squad delivery practices throughout their span of influence, recommends improvements to leadership and drives their implementation
- Maintains a focus on removing the duplication of effort across teams and proactively identifies opportunities for reuse within their span of influence
- Thoughtfully measures and assesses team and identifies areas of development for individuals
- Explores emerging technologies, leads development of prototypes with little or no guidance and incorporates into architectural solutions where appropriate
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 7+ years of experience designing, developing, and implementing large-scale solutions in production environments
TOP REQUIREMENTS:
- Python
- Agentic AI
- RAG
- Lang Graph
NICE TO HAVE SKILLS AND EXPERIENCE:
- Java
- Cloud Technologies (Kubernetes)
- GitHub Actions
- Travel domain knowledge
See all 46+ H-1B Visa Generative AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Generative AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Generative AI Engineer
Verify your role qualifies as specialty occupation
Generative AI Engineer positions must require a bachelor's degree or higher in a directly related field. Check the O*NET profile for your SOC code to confirm the degree requirement, since USCIS scrutinizes AI roles where job duties could theoretically be filled without a specific degree.
Target employers with active LCA filing history
Use Migrate Mate to filter employers by verified DOL Labor Condition Application filings for AI and machine learning roles, so you're applying to companies that have already committed to the H-1B process rather than ones exploring it for the first time.
Document proprietary model work for your petition
USCIS officers evaluating AI engineer petitions look for evidence the role requires specialized theoretical knowledge. Keep records of your work with foundation models, fine-tuning pipelines, and architecture decisions. These specifics strengthen the specialty occupation argument in your I-129 filing.
Register before the March cap-subject lottery deadline
H-1B registration opens each March for the following fiscal year's cap. If you're on OPT, confirm your authorization end date against the October 1 start date. A cap-gap protects your status if your OPT expires between April selection and October 1, but only if your employer files on time.
Clarify remote and hybrid work in your LCA before filing
DOL requires a separate LCA or amended filing if your worksite changes. For generative AI roles with flexible remote arrangements, confirm with your employer whether the LCA lists your home address or a corporate office, since a mismatch is one of the most common audit triggers.
Flag cap-exempt employers during your search
Universities, nonprofit research organizations, and government entities are exempt from the H-1B annual cap. Generative AI research roles at these institutions can be filed any time of year, bypassing the lottery entirely. These opportunities are worth pursuing in parallel with cap-subject employer applications.
H-1B Visa Generative AI Engineer: Frequently Asked Questions
Does a Generative AI Engineer role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS defines specialty occupation as a role requiring at least a bachelor's degree in a directly related field. Generative AI Engineer positions typically require a degree in computer science, machine learning, or a closely related discipline. The O*NET classification for your specific SOC code is the starting point for confirming this. Roles where any degree field is acceptable are harder to defend under specialty occupation criteria.
Which employers are most likely to sponsor H-1B visas for Generative AI Engineers?
Employers with established H-1B programs and prior LCA filings for AI and software roles are the most reliable sponsors. You can find these employers on Migrate Mate, which surfaces verified DOL LCA filing history filtered by occupation. Large tech companies, AI research labs, and cloud platform providers file the most petitions in this space, but mid-size startups building generative AI products increasingly sponsor as well.
How does the prevailing wage requirement apply to Generative AI Engineer roles?
Your employer must pay at least the DOL prevailing wage for your SOC code in the worksite location before USCIS will approve the petition. Generative AI roles often map to Level III or Level IV wage tiers given the seniority and specialization involved. You can look up the applicable wage using the OFLC Wage Search tool. The wage listed on your LCA must match or exceed that figure.
Can a Generative AI Engineer change employers on an H-1B?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as they file a new I-129 petition, without waiting for approval, as long as your previous petition was approved and you've been in H-1B status for at least 180 days. Your new employer files a fresh LCA with the DOL for the new worksite and role before submitting the I-129 to USCIS.
Does remote work affect an H-1B petition for a Generative AI Engineer?
It can. The DOL requires the LCA to list the actual worksite where you perform the work. If you're fully remote, the LCA must cover your home address location. Working from an unlisted location, even temporarily, can trigger compliance issues during a DOL audit. Discuss the worksite structure with your employer before the LCA is certified to avoid an amended filing later.