Generative AI Engineer Jobs in USA with Visa Sponsorship
Generative AI Engineers are among the most actively sponsored roles in the U.S. right now. Employers routinely file H-1B visa and O-1 visa petitions for qualified candidates, and the specialty occupation standard is straightforward for degree holders in computer science, machine learning, or a related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsTitle: Senior Developer
Location: Columbia, SC - Partially onsite - 3 days per week (Tue, Wed, Thurs) and as needed.
Duration: 11 months
Standard work hours: 8:00 AM – 5:00 PM
Credit check will be required
Job Description:
This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research. The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team:
The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
NOT Looking for:
We are not looking for candidates whose primary experience is in data analytics or traditional machine learning (e.g., regression, classification) without significant exposure to Generative AI.
Minimum Required Education:
Bachelor's degree in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience:
8 years of application development, systems testing or other job related experience. (6 yrs for Dev IV)
Required Technologies:
- 3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
- Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Tech Stack:
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Nice to Have:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Title: Senior Developer
Location: Columbia, SC - Partially onsite - 3 days per week (Tue, Wed, Thurs) and as needed.
Duration: 11 months
Standard work hours: 8:00 AM – 5:00 PM
Credit check will be required
Job Description:
This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research. The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team:
The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
NOT Looking for:
We are not looking for candidates whose primary experience is in data analytics or traditional machine learning (e.g., regression, classification) without significant exposure to Generative AI.
Minimum Required Education:
Bachelor's degree in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience:
8 years of application development, systems testing or other job related experience. (6 yrs for Dev IV)
Required Technologies:
- 3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
- Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Tech Stack:
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Nice to Have:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
See all 54+ Generative AI Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Generative AI Engineer
Target companies with a track record of AI hiring
Check USCIS H-1B disclosure data to identify employers who have filed for Generative AI or ML Engineer roles before. Repeat sponsors understand the process and are far less likely to withdraw an offer due to visa concerns.
Frame your degree field carefully in applications
H-1B specialty occupation requires a degree in a specific field tied to the role. Computer science, electrical engineering, and applied mathematics are the strongest fits. A general business or unrelated degree will require extra documentation from your employer.
Lead with published work, models, or open-source contributions
Employers sponsoring O-1 or EB-1 visas need evidence of extraordinary ability. Patents, published papers, Hugging Face model releases, or cited GitHub repositories directly support those petitions and strengthen your negotiating position on sponsorship.
Clarify sponsorship intent before the final interview round
Raise visa sponsorship before you receive a written offer, not after. Most AI teams expect the question. Waiting until the offer stage creates friction and occasionally causes rescissions from employers who assumed you had existing work authorization.
Understand the H-1B lottery timeline before you apply
H-1B registrations open in March for an October start date. If your OPT or current status expires before October, discuss cap-exempt employers or bridge options with your employer early so there is a contingency plan in place.
Australians should ask employers about the E-3 visa specifically
The E-3 visa is exclusive to Australian citizens and has no lottery. For a Generative AI Engineer role that meets specialty occupation standards, it is often faster and less expensive for employers than the H-1B, making sponsorship conversations easier.
Frequently Asked Questions
Do Generative AI Engineer roles qualify as H-1B specialty occupations?
Yes. Generative AI Engineer positions consistently qualify because they require at minimum a bachelor's degree in computer science, machine learning, electrical engineering, or a closely related technical field. USCIS has approved H-1B visa petitions for AI and ML engineering roles at high rates, provided the job description reflects duties requiring that specific degree background rather than a general degree in any field.
How can I find Generative AI Engineer jobs that offer visa sponsorship?
Migrate Mate filters jobs by sponsorship availability, so you can browse Generative AI Engineer roles where employers have already indicated they will sponsor. This removes the guesswork of cold-applying to companies that may reject candidates requiring a visa. The platform is built specifically for international candidates navigating work authorization in the U.S.
Does my degree field matter for H-1B sponsorship as a Generative AI Engineer?
It matters significantly. Computer science, machine learning, data science, and electrical engineering are the strongest matches. A degree in a loosely related field like general information technology or business with a technical minor may still qualify, but your employer's attorney will need to build a stronger case. A completely unrelated degree is very difficult to work around for this role type.
Is the O-1 visa a realistic option for Generative AI Engineers?
Yes, and it is increasingly common in this field. O-1A requires evidence of extraordinary ability across at least three of eight criteria, including original contributions, published work, high salary relative to peers, or a critical role at a distinguished organization. Engineers with peer-reviewed publications, widely adopted open-source models, or industry awards are strong candidates. Unlike the H-1B, there is no lottery and no annual cap.
What happens to my visa status if I'm laid off while working as a sponsored Generative AI Engineer?
If your H-1B employer terminates your employment, you enter a 60-day grace period to find a new sponsor, change to another valid status, or depart the U.S. Your new employer must file an H-1B transfer petition before the grace period ends. Given active hiring in AI, many engineers secure a new sponsor within this window, but starting the search immediately is critical.
What is the prevailing wage requirement for sponsored Generative AI 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.