AI Engineer Jobs in USA with Visa Sponsorship
AI engineers who specialize in taking models from research prototypes to production-grade systems are in surging demand across US companies scaling their AI capabilities. Unlike research-focused roles, AI engineering emphasizes MLOps, model serving, and building reliable inference pipelines - skills that are scarce and highly valued by employers filing sponsorship petitions. If you can bridge the gap between a trained model and a product that serves millions of users, US companies will sponsor your visa to do exactly that. For detailed occupation requirements, see the O*NET profile.
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Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods.
You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields.
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale.
Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team.
Key job responsibilities
- Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.
- Own end to end deployment at scale of AI solutions.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Document processes and methods for technical and non-technical audiences.
- Contribute to code reviews.
- Mentor and help recruit AI Engineer to the team.
- Present outcomes and explain approaches to senior leadership.
Why you will love this opportunity
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
About the team
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience setting up distributed training infrastructure.
- Hands on experiences with AI Agent development in real production.
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience handling and organizing video assets.
- Ideally familiar with Amazon systems and deployment methods for production.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods.
You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields.
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale.
Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team.
Key job responsibilities
- Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.
- Own end to end deployment at scale of AI solutions.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Document processes and methods for technical and non-technical audiences.
- Contribute to code reviews.
- Mentor and help recruit AI Engineer to the team.
- Present outcomes and explain approaches to senior leadership.
Why you will love this opportunity
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
About the team
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience setting up distributed training infrastructure.
- Hands on experiences with AI Agent development in real production.
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience handling and organizing video assets.
- Ideally familiar with Amazon systems and deployment methods for production.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Engineer
Position yourself at the intersection of AI and engineering
AI Engineer is a fast-growing title that bridges ML research and production software. Highlight experience deploying models, building RAG pipelines, or integrating LLMs into products - these applied skills are what companies are hiring for.
Target companies actively building AI engineering teams
Companies from startups to enterprises are creating new AI engineering roles and sponsoring H-1B petitions to fill them. Databricks, Notion, Figma, and similar companies have expanded AI headcount specifically because demand outpaces domestic supply.
Clarify your SOC code with your employer
AI Engineer roles can file under SOC 15-1252 (Software Developers) if engineering-focused or 15-2051 (Data Scientists) if research-heavy. The right choice depends on your day-to-day duties - work with your employer's immigration attorney to match accurately.
Use STEM OPT to build production AI experience
A STEM-eligible degree gives you up to 3 years of work authorization through OPT. Ship real AI features during that time - companies are far more likely to sponsor an engineer who already knows their codebase and deployment stack.
Differentiate yourself with full-stack AI skills
Many AI engineers can fine-tune models but struggle with production infrastructure. Expertise in model serving, API design, latency optimization, and monitoring makes you harder to replace and gives employers a stronger reason to sponsor.
Consider the O-1 path if you have notable AI work
Significant open-source contributions, widely used AI tools, or media coverage of your work can support an O-1 extraordinary ability petition. You don't need a PhD - demonstrated impact in applied AI can qualify.
AI Engineer jobs are hiring across the US. Find yours.
Find AI Engineer JobsFrequently Asked Questions
What is the difference between an AI engineer and a machine learning engineer for visa sponsorship purposes?
For immigration purposes, the distinction matters less than how the employer describes the role in the petition. AI engineer roles tend to emphasize building end-to-end AI-powered products, integrating LLMs, and designing retrieval-augmented generation systems. ML engineer roles focus more on model training infrastructure and serving pipelines. Both qualify as specialty occupations, and the key is specificity in the job description listing the technical skills required and the degree fields that prepare someone for the work.
How important is production experience versus research experience for AI engineer visa sponsorship?
Production experience is the differentiator for AI engineering roles. Employers sponsoring AI engineers are specifically looking for someone who can deploy and maintain AI systems in production, handling model versioning, building evaluation frameworks, and optimizing inference costs. While research experience shows technical depth, the visa petition for an AI engineer role will emphasize production engineering requirements. Highlight systems you have built and shipped, along with experience in tools like Kubernetes, Docker, and model serving frameworks.
Do I need a master's degree or PhD to get sponsored as an AI engineer?
A bachelor's degree in computer science or a related field is sufficient for most AI engineering positions. Unlike AI research roles where a PhD is often expected, AI engineering emphasizes practical systems-building skills over academic credentials. That said, a master's degree qualifies you for the additional 20,000 H-1B lottery slots reserved for advanced degree holders and signals deeper technical knowledge. Many successful AI engineer petitions are filed with bachelor's-level candidates who have strong production ML experience.
Which companies are most actively sponsoring AI engineers?
Companies scaling AI products are the most active sponsors. This includes large tech firms (Google, Meta, Amazon, Microsoft), AI-first startups (OpenAI, Anthropic, Cohere), and AI infrastructure companies (Databricks, Anyscale, Weights & Biases). Enterprise companies integrating AI into their products across healthcare, finance, and e-commerce are also growing sponsors. Look for employers whose job descriptions specifically mention LLM integration, RAG systems, or production AI deployment, as these roles are distinct enough to produce strong petitions.
What technical skills should I emphasize in an AI engineer visa petition?
Focus on skills that distinguish AI engineering from general software development. LLM integration, vector database management, prompt engineering pipelines, inference optimization, and retrieval-augmented generation architecture are the most relevant. Experience with evaluation frameworks for AI systems, cost optimization for GPU workloads, and monitoring for model quality in production also carries weight. The more specific the technical requirements in the petition, the stronger the specialty occupation argument.
What is the prevailing wage requirement for sponsored AI Engineer jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage", the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level. For example, a ai engineer in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search Page.
How to find AI Engineer jobs with visa sponsorship?
To find AI Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international tech talent with sponsoring employers. Focus on tech companies, startups, and research institutions that commonly sponsor H-1B, O-1, or TN visas for AI roles. These employers actively seek machine learning engineers, data scientists, and AI researchers with specialized skills in neural networks, computer vision, and natural language processing.
See which AI Engineer employers are hiring and sponsoring visas right now.
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