AI ML Engineer Jobs in USA with Visa Sponsorship
AI/ML Engineers are among the most consistently sponsored roles in the U.S. tech industry. H-1B is the standard path, and large tech employers file petitions year-round. A bachelor's degree in computer science, mathematics, or a related field is typically required to qualify as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsJob: AI/ML Engineer – Generative AI & AWS
Location: Reston, VA
Employment Type: Full-Time
Job Overview
We are seeking a highly skilled AI/ML Engineer with strong Generative AI and AWS expertise to design, develop, and deploy scalable, cloud-native intelligent solutions. The ideal candidate will have hands-on experience across the end-to-end machine learning lifecycle, including model development, deployment, and MLOps, along with practical exposure to LLM-based applications and RAG architectures.
Key Responsibilities
- Design and implement end-to-end AI/ML and Generative AI solutions using Python
- Develop, train, evaluate, and optimize machine learning models for production use
- Build and deploy LLM-powered applications such as chatbots, summarization tools, and semantic search systems
- Architect and implement RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector database integrations
- Develop high-performance Python microservices (FastAPI/Flask) for real-time inference and data processing
- Build and maintain cloud-native applications on AWS, leveraging services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora
- Utilize AWS AI/ML services including SageMaker and Bedrock for model development and deployment
- Implement CI/CD pipelines using GitHub, GitLab, or AWS CodePipeline for automated deployments
- Apply Infrastructure as Code (IaC) practices using Terraform or CloudFormation
- Establish and manage MLOps workflows, including model versioning, monitoring, retraining, and performance optimization
- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders
Required Skills & Qualifications
- Strong programming expertise in Python
- Hands-on experience with machine learning frameworks and model lifecycle management
- Proven experience with Generative AI / LLMs and RAG-based solutions
- Experience building APIs using FastAPI or Flask
- Strong experience with AWS cloud services (Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora)
- Hands-on experience with Amazon SageMaker and/or Bedrock
- Experience with CI/CD pipelines and DevOps practices
- Proficiency in Infrastructure as Code (Terraform or CloudFormation)
- Strong understanding of MLOps practices including deployment, monitoring, and retraining
Preferred Qualifications
- Experience with vector databases (Pinecone, FAISS, Weaviate)
- Familiarity with LLM frameworks (LangChain, LlamaIndex)
- Experience with containerization (Docker) and orchestration tools (Kubernetes/EKS)
- Knowledge of real-time data processing and analytics systems
Job: AI/ML Engineer – Generative AI & AWS
Location: Reston, VA
Employment Type: Full-Time
Job Overview
We are seeking a highly skilled AI/ML Engineer with strong Generative AI and AWS expertise to design, develop, and deploy scalable, cloud-native intelligent solutions. The ideal candidate will have hands-on experience across the end-to-end machine learning lifecycle, including model development, deployment, and MLOps, along with practical exposure to LLM-based applications and RAG architectures.
Key Responsibilities
- Design and implement end-to-end AI/ML and Generative AI solutions using Python
- Develop, train, evaluate, and optimize machine learning models for production use
- Build and deploy LLM-powered applications such as chatbots, summarization tools, and semantic search systems
- Architect and implement RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector database integrations
- Develop high-performance Python microservices (FastAPI/Flask) for real-time inference and data processing
- Build and maintain cloud-native applications on AWS, leveraging services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora
- Utilize AWS AI/ML services including SageMaker and Bedrock for model development and deployment
- Implement CI/CD pipelines using GitHub, GitLab, or AWS CodePipeline for automated deployments
- Apply Infrastructure as Code (IaC) practices using Terraform or CloudFormation
- Establish and manage MLOps workflows, including model versioning, monitoring, retraining, and performance optimization
- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders
Required Skills & Qualifications
- Strong programming expertise in Python
- Hands-on experience with machine learning frameworks and model lifecycle management
- Proven experience with Generative AI / LLMs and RAG-based solutions
- Experience building APIs using FastAPI or Flask
- Strong experience with AWS cloud services (Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora)
- Hands-on experience with Amazon SageMaker and/or Bedrock
- Experience with CI/CD pipelines and DevOps practices
- Proficiency in Infrastructure as Code (Terraform or CloudFormation)
- Strong understanding of MLOps practices including deployment, monitoring, and retraining
Preferred Qualifications
- Experience with vector databases (Pinecone, FAISS, Weaviate)
- Familiarity with LLM frameworks (LangChain, LlamaIndex)
- Experience with containerization (Docker) and orchestration tools (Kubernetes/EKS)
- Knowledge of real-time data processing and analytics systems
How to Get Visa Sponsorship as an AI ML Engineer
Target employers with H-1B cap-exempt status
Universities, nonprofit research institutions, and affiliated entities are exempt from the H-1B lottery. For AI/ML roles, this includes research labs and academic medical centers that hire engineers to support funded projects.
Align your degree field to your job function
USCIS scrutinizes whether your degree directly relates to the role. A computer science, statistics, or electrical engineering degree supports most AI/ML petitions. A business or unrelated degree will require a stronger supporting argument from your employer.
Document your specialized technical skills in detail
H-1B petitions for AI/ML roles should reference specific frameworks, architectures, and methodologies you use. Generalized descriptions of machine learning work are more likely to face a Request for Evidence than role-specific technical language.
Large tech employers sponsor most reliably
Companies filing the highest volume of AI/ML H-1B petitions include established technology firms with dedicated immigration teams. These employers have established LCA and petition processes, which reduces processing delays and RFE risk for candidates.
Register for the H-1B lottery as early as possible
H-1B registration opens in March each year. If you have a job offer, confirm your employer is prepared to register on time. Missing the window means waiting another full year, so timeline coordination with HR matters significantly.
O-1A is a viable alternative if you have a strong research profile
AI/ML engineers with published papers, conference presentations, patents, or peer review credits may qualify for the O-1A extraordinary ability visa. It has no cap and no lottery, making it a practical path if H-1B selection fails.
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Get Access To All JobsFrequently Asked Questions
Is AI/ML Engineer considered a specialty occupation for H-1B purposes?
Yes, AI/ML Engineer is consistently approved as a specialty occupation. USCIS requires that the role normally requires a bachelor's degree or higher in a specific field such as computer science, mathematics, or electrical engineering. Generic job descriptions that don't specify degree requirements can trigger a Request for Evidence, so the petition language matters.
Do I need a master's degree to get H-1B sponsorship as an AI/ML Engineer?
A bachelor's degree is sufficient for H-1B eligibility, but a master's degree gives you two meaningful advantages. First, it qualifies you for the advanced degree cap, which offers a separate lottery pool with better selection odds. Second, many employers targeting senior AI/ML roles treat a master's as a practical hiring requirement, which narrows competition.
How competitive is H-1B sponsorship for AI/ML roles compared to other tech jobs?
AI/ML Engineers receive among the highest volumes of H-1B petitions in the tech sector, which means employers are experienced with the process. The lottery selection rate applies equally regardless of job title, but the density of sponsoring employers in this field means more opportunities to secure a registered employer before the March deadline.
Where can I find AI/ML Engineer jobs that offer visa sponsorship?
Migrate Mate is built specifically for candidates who need visa sponsorship. You can browse AI/ML Engineer roles filtered by employers who have a documented history of H-1B filings, which removes the guesswork of cold-applying to companies that don't sponsor. This is more reliable than searching general job boards and filtering manually.
Can I switch employers on an H-1B as an AI/ML Engineer without losing my status?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, without waiting for approval, provided your current H-1B was properly maintained. The new employer must file a new I-129 petition before your first day. Gaps in employment between petitions can complicate portability eligibility, so timing matters.
What is the prevailing wage requirement for sponsored AI ML 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.
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