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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OVERVIEW OF THE COMPANY
FOX Entertainment
With a legacy spanning nearly 40 years, FOX Entertainment is one of the world’s most recognizable media brands and a leading global creator of multi-genre content across broadcast, streaming, digital and emerging platforms. Known for its independent, innovative spirit and bold storytelling, the company is committed to reaching audiences where they are through a platform- and format-agnostic approach to developing, testing and scaling intellectual property worldwide. FOX Entertainment consists of three core business units. The FOX Television Network, which encompasses its flagship linear platform and streaming partnerships with Hulu and FOX One, is home to hit series including The Simpsons, The Masked Singer, Doc, Memory of a Killer, Fear Factor: House of Fear, The Floor and Hell’s Kitchen. FOX Entertainment Studios operates the in-house scripted and unscripted studios behind series such as Animal Control, Best Medicine, The Faithful, and The Way Home, as well as Bento Box Entertainment with animated hits such as Hazbin Hotel and Krapopolis; Studio Ramsay Global with Next Level Chef, Gordon Ramsay’s Secret Service and Knife Edge: Chasing Michelin Stars; entertainment studio TMZ; and the independent film label Tideline. FOX Entertainment Global is the company’s worldwide content sales and distribution arm. As part of its evolution into a modern next-gen studio, FOX Entertainment is expanding its digital storytelling ecosystem with investments across vertical video with Holywater, Chain’s experiential storytelling, podcasting with Meet Cute, a two-way content pipeline with HarperCollins Publishing, and creator-led formats through the newly formed FOX Creator Studios. Through these strategic initiatives, the company is investing earlier in emerging ideas and new forms of audience engagement, while maintaining the ability to grow successful concepts into premium franchises across broadcast, streaming and global platforms. A prolific content creator and production partner, FOX Entertainment collaborates with leading studios, creators, and platforms worldwide to produce and distribute premium content at scale across broadcast, streaming, and digital ecosystems, while continuing to grow its portfolio of owned IP and next-generation storytelling formats.
JOB DESCRIPTION
The AI Supervisor, Scripted is responsible for building and executing AI powered workflows for scripted content. This role partners with production teams to reimagine how scripted content is developed, captured, and delivered using AI, driving efficiency, scalability, and new creative formats. You will operate in a highly experimental environment, translating early-stage tools into real world production pipelines.
Regular, on-site attendance at the workplace for a minimum of four (4) days per week is an essential function of the position. The selected candidate must be able to reliably meet this requirement.
A SNAPSHOT OF YOUR RESPONSIBILITIES
- Lead AI enabled scripted projects from concept through execution and delivery
- Design and implement production workflows from scratch that integrate AI into scripted formats
- Conduct intake sessions with studio and production teams to identify opportunities for AI integration
- Define project scope, timelines, deliverables, and resource plans for AI driven productions
- Collaborate with R&D and technical teams to test and deploy new AI tools in live production environments
- Oversee field, post-production, and delivery workflows with a focus on speed and scalability
- Manage across functional teams, vendors, and production partners
- Identify risks, solve problems, and adapt workflows in rapidly evolving production environments
WHAT YOU WILL NEED
- 7+ years of experience in scripted production
- Experience with data driven storytelling and automated editing workflows
- Fluency in field production, post production workflows, and delivery pipelines
- Familiarity with AI tools for transcription, logging, editing, or content generation
- Ability to build processes in fast moving and ambiguous environments
- Strong stakeholder management and communication skills
- Excellent time management and ability to consistently meet deadlines in high-pressure, fast paced settings
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $114,000.00-150,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.
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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.
Frequently 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 visa, 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.