AI Specialist Jobs in USA with Visa Sponsorship
AI Specialist roles are among the most actively sponsored positions in the U.S. right now, with H-1B approval rates for software and AI-related occupations consistently above 85%. Employers across tech, finance, and healthcare are filing petitions year-round, and cap-exempt employers offer paths outside the lottery. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.
AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.
Embark on an exciting journey with AES as we pioneer the future of energy through Maximo, our innovative growth venture. Maximo, propelled by an AI-enabled robot, is transforming the construction of solar projects by expediting their completion. As a pivotal contributor to our mission of scaling solar energy production at an unparalleled pace, Maximo is leading the charge to meet the urgent global demand for net-zero emissions. Maximo team members are firm believers that accelerating decarbonization necessitates audacious actions, empowering the world to fulfill future needs.
JOB DESCRIPTION
We are seeking a highly skilled and experienced Senior Robotics Perception and AI Engineer to join our team. In this role, you will be responsible for developing, optimizing and implementing cutting-edge perception and AI algorithms to enable our robots to understand and interact with the world around them. You will leverage your deep expertise in computer vision, machine learning, and robotics to drive innovation and solve complex challenges. Duties will include developing advanced perception algorithms for tasks such as object detection, segmentation, and pose estimation, as well as leading the technical roadmap for the perception part aligned with our vision and Product Roadmap.
A successful candidate is strongly motivated and passionate about solving perception and AI/ML problems and pushing the boundaries of what is possible today and will be an entrepreneurial, mission-driven individual responsible for actively progressing, developing, and executing the technical roadmap of our solar module installation robotic system. This individual will take on the responsibility of defining, designing, and implementing the perception software stack architecture and guide the Robotics and Hardware engineers to identify the best sensor suite. In addition, this person will take the ownership of developing and maintaining machine learning pipeline, deploying new models to production, and monitoring their performance collaborating closely with the engineer team to ensure seamless integration of machine learning models and perception algorithm into our applications.
As a specialist in the Maximo business, this position will work collaboratively across the Maximo, external industry partners across the value chain, and AES teams, including engineering, business development, construction, finance, supply chain, and strategy.
MAJOR RESPONSIBILITIES
- Develop and implement advanced high-performing perception algorithms for real-time tasks such as object detection, segmentation, and pose estimation based on variety of sensor data (Lidar, Camera, etc).
- Design, train, optimize, deploy and maintain AI/ML models for robust and accurate perception in challenging environments.
- Enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models in the field.
- Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction.
- Analyze and process sensor data (e.g., camera, lidar, radar, etc.) to extract meaningful information.
- Translate product level requirements into technical design criteria.
- Work with engineers (robotics, hardware, etc.) and product team to define hardware/software architecture and technical roadmap.
- Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of perception systems.
- Stay up to date with the latest advancements in computer vision, machine learning, and robotics to drive innovation and improve product performance.
- Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
REQUIREMENTS
- Master's or PhD in Computer Science, Robotics, or a related field.
- 5+ years of experience in computer vision, machine learning, and/or robotics.
- Strong theoretical foundation in computer vision, image processing, and machine learning algorithms.
- Proficiency in programming languages such as Python, C++, and ROS2.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with real-time systems and embedded platforms.
- Knowledge of robotics platforms and sensor systems.
- Founder’s mentality: Entrepreneurial passion for getting things done and a “make it happen” attitude with an intellectual curiosity to seek new opportunities.
- Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented, “can-do” attitude, and “get things done” mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details.
- Technology fluency: Demonstrated ability to understand solar engineering and technology concepts, question assumptions, and make informed product and technology decisions. Technical understanding of automation, robotics, computer vision, machine learning and/or artificial intelligence, is a plus.
TRAVEL: 30% travel
AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law.
E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
INTRODUCTION
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.
AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.
Embark on an exciting journey with AES as we pioneer the future of energy through Maximo, our innovative growth venture. Maximo, propelled by an AI-enabled robot, is transforming the construction of solar projects by expediting their completion. As a pivotal contributor to our mission of scaling solar energy production at an unparalleled pace, Maximo is leading the charge to meet the urgent global demand for net-zero emissions. Maximo team members are firm believers that accelerating decarbonization necessitates audacious actions, empowering the world to fulfill future needs.
JOB DESCRIPTION
We are seeking a highly skilled and experienced Senior Robotics Perception and AI Engineer to join our team. In this role, you will be responsible for developing, optimizing and implementing cutting-edge perception and AI algorithms to enable our robots to understand and interact with the world around them. You will leverage your deep expertise in computer vision, machine learning, and robotics to drive innovation and solve complex challenges. Duties will include developing advanced perception algorithms for tasks such as object detection, segmentation, and pose estimation, as well as leading the technical roadmap for the perception part aligned with our vision and Product Roadmap.
A successful candidate is strongly motivated and passionate about solving perception and AI/ML problems and pushing the boundaries of what is possible today and will be an entrepreneurial, mission-driven individual responsible for actively progressing, developing, and executing the technical roadmap of our solar module installation robotic system. This individual will take on the responsibility of defining, designing, and implementing the perception software stack architecture and guide the Robotics and Hardware engineers to identify the best sensor suite. In addition, this person will take the ownership of developing and maintaining machine learning pipeline, deploying new models to production, and monitoring their performance collaborating closely with the engineer team to ensure seamless integration of machine learning models and perception algorithm into our applications.
As a specialist in the Maximo business, this position will work collaboratively across the Maximo, external industry partners across the value chain, and AES teams, including engineering, business development, construction, finance, supply chain, and strategy.
MAJOR RESPONSIBILITIES
- Develop and implement advanced high-performing perception algorithms for real-time tasks such as object detection, segmentation, and pose estimation based on variety of sensor data (Lidar, Camera, etc).
- Design, train, optimize, deploy and maintain AI/ML models for robust and accurate perception in challenging environments.
- Enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models in the field.
- Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction.
- Analyze and process sensor data (e.g., camera, lidar, radar, etc.) to extract meaningful information.
- Translate product level requirements into technical design criteria.
- Work with engineers (robotics, hardware, etc.) and product team to define hardware/software architecture and technical roadmap.
- Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of perception systems.
- Stay up to date with the latest advancements in computer vision, machine learning, and robotics to drive innovation and improve product performance.
- Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
REQUIREMENTS
- Master's or PhD in Computer Science, Robotics, or a related field.
- 5+ years of experience in computer vision, machine learning, and/or robotics.
- Strong theoretical foundation in computer vision, image processing, and machine learning algorithms.
- Proficiency in programming languages such as Python, C++, and ROS2.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with real-time systems and embedded platforms.
- Knowledge of robotics platforms and sensor systems.
- Founder’s mentality: Entrepreneurial passion for getting things done and a “make it happen” attitude with an intellectual curiosity to seek new opportunities.
- Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented, “can-do” attitude, and “get things done” mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details.
- Technology fluency: Demonstrated ability to understand solar engineering and technology concepts, question assumptions, and make informed product and technology decisions. Technical understanding of automation, robotics, computer vision, machine learning and/or artificial intelligence, is a plus.
TRAVEL: 30% travel
AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law.
E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
How to Get Visa Sponsorship as an AI Specialist
Frame your degree in a technical field
H-1B approval for AI Specialist roles hinges on specialty occupation status. A degree in computer science, statistics, mathematics, or electrical engineering maps cleanly to the role. Interdisciplinary degrees work but require stronger supporting documentation from your employer.
Target cap-exempt employers first
Universities, nonprofit research institutions, and government-affiliated labs can sponsor H-1B visas outside the annual lottery. For AI specialists, these include research labs at MIT, Stanford, and national laboratories, where demand for ML and AI talent is high year-round.
Highlight proprietary tools and model experience
USCIS scrutinizes whether AI Specialist roles genuinely require a degree. Petitions that detail work with specific frameworks like PyTorch, TensorFlow, or large language model architectures are far more defensible than generic descriptions of data analysis or automation tasks.
Don't overlook the O-1A visa pathway
If you've published research, won awards, or hold a senior position with demonstrated impact, the O-1A is worth exploring. It has no lottery, no annual cap, and AI researchers with conference publications or cited work often meet multiple qualifying criteria.
Prepare for employer RFE risk on job duty specificity
USCIS frequently issues Requests for Evidence on AI roles, questioning whether a degree is truly required. Employers should document the theoretical and applied knowledge the position demands, referencing peer-reviewed standards and internal technical specifications wherever possible.
Browse sponsoring employers before applying broadly
Not every company that posts AI roles will sponsor visas. Filtering for verified sponsoring employers on Migrate Mate before applying saves weeks of outreach to companies that will decline at the offer stage due to immigration policy constraints.
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Get Access To All JobsFrequently Asked Questions
What visa is most commonly used to sponsor AI Specialist roles in the U.S.?
The H-1B is the most common sponsorship path for AI Specialists, classifying the role as a specialty occupation requiring at least a bachelor's degree in a directly related field. USCIS approval rates for computer-related occupations, which cover most AI roles, have historically exceeded 85%. Australians also have access to the E-3 visa, which bypasses the H-1B lottery entirely.
Does my degree field matter for H-1B sponsorship as an AI Specialist?
Yes, and it matters more than most applicants expect. USCIS requires a direct relationship between your degree and the specific duties of the role. Computer science, statistics, applied mathematics, and data science degrees map cleanly. A business or humanities degree, even with extensive AI experience, makes the petition significantly harder to approve without supplemental evidence of equivalent education.
How competitive is the H-1B lottery for AI Specialist roles?
The lottery is the same for all cap-subject H-1B petitions regardless of job title, with a selection rate around 25% in recent years. However, AI Specialists hired by universities, nonprofit research organizations, or government-affiliated entities are cap-exempt and bypass the lottery entirely. Many AI professionals pursue these roles specifically to avoid lottery dependency.
Can I get sponsored as an AI Specialist without a traditional four-year degree?
It's possible but more complex. USCIS allows three years of specialized work experience to substitute for one year of formal education, meaning 12 years of directly relevant experience can satisfy a four-year degree requirement. In practice, this standard is difficult to meet for AI roles without documented, progressive technical responsibility. An immigration attorney should evaluate your specific profile before an employer files.
Where can I find AI Specialist jobs that are open to visa sponsorship?
Migrate Mate is built specifically for this, listing AI Specialist roles from employers who have actively sponsored work visas. Filtering by sponsorship status upfront means you're only seeing companies with a verified track record of filing H-1B or other work visa petitions, rather than discovering late in the process that a company doesn't sponsor international candidates.
What is the prevailing wage requirement for sponsored AI Specialist 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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