AI Developer Jobs in USA with Visa Sponsorship
AI Developer roles are among the most actively sponsored positions in the U.S. right now. Most employers file under the H-1B visa, requiring a bachelor's degree in computer science, AI, or a related field. Demand consistently outpaces domestic supply, making sponsorship common across startups and large tech firms alike. For detailed occupation requirements, see the O*NET profile.
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Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position
The Agentic AI Developer will join Intuitive’s Agentic AI team, responsible for creating next-generation autonomous AI solutions. This role focuses on designing and implementing agentic AI systems capable of reasoning, planning, and acting to achieve complex goals across cloud environments. The position requires strong software engineering skills and deep understanding of AI agent architectures. Success will be measured by the ability to deliver robust, scalable, and reliable agentic AI solutions that augment human capabilities and drive innovation in healthcare technology.
Essential Job Duties
- Design and develop autonomous AI agents using C# and Python on Azure and other cloud platforms
- Implement sophisticated context management systems to maintain agent state across multi-turn interactions and complex workflows
- Build robust memory systems including short-term working memory and long-term knowledge retrieval
- Create tool integration frameworks allowing agents to interact with external APIs, databases, and services
- Develop agent orchestration systems for multi-agent collaboration and task delegation
- Implement prompt engineering strategies and chain-of-thought reasoning patterns
- Design error handling and fallback mechanisms for agent reliability
- Build observability and debugging tools for agent behavior analysis
- Optimize token usage and implement efficient context window management strategies
- Collaborate with cross-functional teams to define agent capabilities and behaviors
Qualifications
Core Competencies and Skill Requirements
- Strong proficiency in C# and Python with 3+ years of professional experience
- Experience with Azure cloud services (Azure Functions, Cognitive Services, Container Instances, Service Bus)
- Solid understanding of LLM architectures and prompt engineering techniques
- Experience with vector databases (Pinecone, Weaviate, Azure Cognitive Search) for semantic memory
- Knowledge of state management patterns and distributed systems
- Experience with REST APIs and asynchronous programming
- Familiarity with containerization (Docker) and orchestration (Kubernetes)
- Understanding of software design patterns and clean architecture principles
Agentic AI Specific Requirements
- Experience building or working with autonomous agents, chatbots, or conversational AI
- Understanding of agentic concepts: goal-driven behavior, planning, tool use, and self-reflection
- Knowledge of context management strategies including sliding windows, summarization, and selective retrieval
- Familiarity with agent frameworks (LangChain, Agent Framework, or similar)
- Experience with function calling/tool use patterns in LLMs
- Understanding of RAG (Retrieval Augmented Generation) architectures
- Knowledge of agent safety, alignment, and responsible AI practices
Nice to Have
- Experience with other cloud platforms (AWS, GCP)
- Knowledge of reinforcement learning or planning algorithms
- Familiarity with knowledge graphs and ontologies
- Experience with streaming architectures for real-time agent responses
- Understanding of multi-modal AI (vision, speech integration)
- Contributions to open-source AI/ML projects
- Experience with agent evaluation and testing frameworks
Soft Skills
- Strong problem-solving abilities with creative approaches to complex challenges
- Excellent communication skills to explain technical concepts to diverse stakeholders
- Self-directed learner comfortable with rapidly evolving AI landscape
- Collaborative mindset with experience in agile development
- Attention to detail, especially regarding edge cases in agent behavior
- Passion for building AI systems that augment human capabilities
Education
- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related field
- Advanced degree preferred but not required with relevant experience
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Developer
Target companies with a history of H-1B filings
Employers who have sponsored AI roles before are far more likely to do it again. Look for companies with repeated H-1B filings for machine learning, AI engineering, or data science titles in OFLC disclosure data. Past behavior is the best predictor.
Frame your specialty occupation case clearly
USCIS scrutinizes AI roles that sound generalist. Your offer letter and job description should specify the theoretical and practical AI knowledge required, the degree field that directly applies, and why a general computer science background alone is insufficient for the role.
Emphasize research output and published work
Patents, published papers, conference presentations, and open-source contributions strengthen your H-1B petition significantly. USCIS adjudicators weigh demonstrated expertise heavily for AI roles, where the specialty occupation threshold can be contested more than in traditional software engineering.
Consider O-1A if your profile is exceptional
AI researchers with peer-reviewed publications, citation records, or recognized contributions to the field may qualify for the O-1A visa. It has no lottery, no annual cap, and no nationality restrictions, making it a strong alternative if your H-1B registration isn't selected.
Prepare for requests for evidence on degree equivalency
Foreign three-year bachelor's degrees or degrees in adjacent fields like mathematics or physics may require a credentials evaluation to establish equivalency to a U.S. four-year computer science degree. Getting this evaluation done early prevents delays after a petition is filed.
Ask about premium processing before accepting an offer
Premium processing upgrades USCIS adjudication to 15 business days. For AI roles with competitive start dates or tight project timelines, confirm upfront whether the employer routinely uses it. Some companies budget for it by default; others require justification from hiring managers.
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Find AI Developer JobsFrequently Asked Questions
Do AI Developer roles qualify as specialty occupations for H-1B purposes?
Yes, AI Developer roles generally qualify as specialty occupations because they require a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, artificial intelligence, machine learning, or a directly related field. However, USCIS has issued RFEs for roles where the job description is broad or where the employer couldn't demonstrate that a specific degree field is a minimum requirement rather than a preference.
What degree fields are accepted for AI Developer H-1B petitions?
Computer science, artificial intelligence, machine learning, data science, statistics, electrical engineering, and mathematics are the most commonly accepted fields. A degree in a loosely related field, such as information systems or general engineering, can still qualify if the job duties clearly require that specific body of knowledge. A credential evaluation letter is recommended for foreign degrees or degrees from fields where the connection to AI development isn't immediately obvious.
How competitive is H-1B sponsorship for AI Developer roles compared to other tech jobs?
AI Developer roles face the same H-1B lottery odds as all cap-subject petitions, roughly 25 to 30 percent selection in recent years. However, employers in this space are increasingly filing O-1A petitions for candidates with strong research profiles, and some larger companies have cap-exempt affiliated research entities that allow direct H-1B filing outside the lottery. Browsing AI Developer roles on Migrate Mate lets you filter specifically for employers with active sponsorship histories.
Can I work as an AI Developer on an OPT or STEM OPT extension while waiting for H-1B selection?
Yes. F-1 graduates in computer science, AI, or related STEM fields qualify for a 24-month STEM OPT extension beyond the standard 12-month OPT period, giving up to three years of post-graduation work authorization. Employers must be enrolled in E-Verify to support STEM OPT. This window is commonly used to bridge the gap between graduation and H-1B cap selection, which only opens once per year.
Are startups or smaller AI companies likely to sponsor H-1B visas?
Many do, particularly well-funded AI startups, but the process requires more upfront coordination than at large enterprises with dedicated immigration teams. Smaller employers may be filing H-1B petitions for the first time, which means longer timelines and occasional errors that trigger RFEs. It's worth asking directly during the offer stage whether they've sponsored before, who manages their immigration filings, and whether they budget for legal counsel and premium processing.
What is the prevailing wage requirement for sponsored AI Developer 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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