AI Software Developer Jobs in USA with Visa Sponsorship
AI Software Developer roles are among the most actively H-1B visa sponsored positions in the U.S. tech industry. Employers including major cloud providers and AI labs regularly file petitions for this role, and specialty occupation approval rates for software development remain strong. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsBe a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
What’s in it for you:
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team—including BrainBox AI, Nuvolo, and more—combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.
Trane Technologies is seeking an AI Engineer who will help build our next generation of intelligent software testing tools and enhance existing non-intelligent test tools. This role will also mentor others on the software test team in the use of AI for software testing. If you are someone who loves to think of creative ways to apply AI to reduce and augment human effort in software testing this would be the ideal role for you.
The Advanced Software Test Tool AI Developer will bring a strong problem-solving mindset with a passion for improving software quality through intelligent automation. This individual should have the ability to balance research-oriented experimentation with pragmatic product delivery and have curiosity about emerging AI technologies and their practical application in engineering tools.
What you will do:
- Design and develop AI-powered software testing tools to automate and improve software specification analysis, test case creation, automated test script authoring, test execution, defect detection and mitigation.
- Build intelligent tooling that helps accelerate QA workflows and integrate supporting tools through automation, machine learning, and generative AI capabilities.
- Collaborate with embedded and system software engineers, product managers, and platform teams to create scalable testing products that improve test coverage, release confidence, and engineering productivity.
- Design, build, and maintain AI/ML features for advanced software testing platforms: functional specification analysis, test case generation, test script generation, defect prediction, defect analysis, flaky test detection, root cause analysis, and intelligent test prioritization, evaluation criteria for AI components (accuracy, hallucination checks, guardrail adherence), MCP Server integration and development.
- Develop and integrate large language model (LLM) and machine learning solutions to improve automated testing for embedded and UI applications.
- Create data pipelines and model workflows that ingest application logs, test results, requirements, and code changes to generate actionable testing insights.
- Partner with cross-functional teams to identify high-value use cases for AI in test design, regression, optimization, and test maintenance. Evaluate model performance and usability using appropriate quality metrics and continuously improve accuracy, reliability, latency, and cost efficiency.
- Implement prompt engineering, retrieval, fine-tuning strategies, or agent-based workflows where appropriate to support testing use cases. Contribute to architecture decisions for scalable, secure, and production-ready AI systems.
- Ensure solutions follow responsible AI, data privacy, security, and software governance standards. Document technical designs, experiments, model behavior, and deployment practices to support maintainability and knowledge sharing.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
- 4-6 years of software test and automation experience, with 2–3 years of those including direct AI experience in testing and application development.
- Hands-on experience building and deploying ML or AI-enabled applications in production or near-production environments.
- Strong programming skills in Python, with experience building backend services, APIs, or automation frameworks.
- Experience with test automation tools (Robot/Selenium) and API testing (Postman or similar) and AI integrations.
- Experience with software testing concepts such as unit, integration, system, regression, and end-to-end testing. Model integration with build pipelines, defect management tools (Jenkins, QMetry, Jira).
- Understanding of machine learning fundamentals, including model training, evaluation, feature engineering, and experimentation.
- Bias toward human-in-the-loop verification — never trusting agent output blindly. Exposure to LLMs, prompt engineering, vector search, RAG patterns, or generative AI application development.
- Ability to analyze complex technical problems and translate them into practical, scalable solutions. Strong communication and collaboration skills with cross-functional teams.
- Experience applying AI to software quality, testing, developer tools, or engineering productivity use cases. Knowledge of software telemetry, observability data, and log analysis for defect detection or failure prediction.
- Understanding of secure software development practices. Experience working in Agile product development environments.
- Exposure to synthetic data generation, code intelligence, static analysis, or test data management solutions.
Annual Base Salary Range or Hourly Base Pay Range:
$77,300.00 - $110,250.00
Compensation Type:
Salary
Incentive Eligible:
No
Sales Commission Eligible:
No
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
Thrive at work and at home:
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
- Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
- Educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.
Safety Sensitive Role:
No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
What’s in it for you:
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team—including BrainBox AI, Nuvolo, and more—combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.
Trane Technologies is seeking an AI Engineer who will help build our next generation of intelligent software testing tools and enhance existing non-intelligent test tools. This role will also mentor others on the software test team in the use of AI for software testing. If you are someone who loves to think of creative ways to apply AI to reduce and augment human effort in software testing this would be the ideal role for you.
The Advanced Software Test Tool AI Developer will bring a strong problem-solving mindset with a passion for improving software quality through intelligent automation. This individual should have the ability to balance research-oriented experimentation with pragmatic product delivery and have curiosity about emerging AI technologies and their practical application in engineering tools.
What you will do:
- Design and develop AI-powered software testing tools to automate and improve software specification analysis, test case creation, automated test script authoring, test execution, defect detection and mitigation.
- Build intelligent tooling that helps accelerate QA workflows and integrate supporting tools through automation, machine learning, and generative AI capabilities.
- Collaborate with embedded and system software engineers, product managers, and platform teams to create scalable testing products that improve test coverage, release confidence, and engineering productivity.
- Design, build, and maintain AI/ML features for advanced software testing platforms: functional specification analysis, test case generation, test script generation, defect prediction, defect analysis, flaky test detection, root cause analysis, and intelligent test prioritization, evaluation criteria for AI components (accuracy, hallucination checks, guardrail adherence), MCP Server integration and development.
- Develop and integrate large language model (LLM) and machine learning solutions to improve automated testing for embedded and UI applications.
- Create data pipelines and model workflows that ingest application logs, test results, requirements, and code changes to generate actionable testing insights.
- Partner with cross-functional teams to identify high-value use cases for AI in test design, regression, optimization, and test maintenance. Evaluate model performance and usability using appropriate quality metrics and continuously improve accuracy, reliability, latency, and cost efficiency.
- Implement prompt engineering, retrieval, fine-tuning strategies, or agent-based workflows where appropriate to support testing use cases. Contribute to architecture decisions for scalable, secure, and production-ready AI systems.
- Ensure solutions follow responsible AI, data privacy, security, and software governance standards. Document technical designs, experiments, model behavior, and deployment practices to support maintainability and knowledge sharing.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
- 4-6 years of software test and automation experience, with 2–3 years of those including direct AI experience in testing and application development.
- Hands-on experience building and deploying ML or AI-enabled applications in production or near-production environments.
- Strong programming skills in Python, with experience building backend services, APIs, or automation frameworks.
- Experience with test automation tools (Robot/Selenium) and API testing (Postman or similar) and AI integrations.
- Experience with software testing concepts such as unit, integration, system, regression, and end-to-end testing. Model integration with build pipelines, defect management tools (Jenkins, QMetry, Jira).
- Understanding of machine learning fundamentals, including model training, evaluation, feature engineering, and experimentation.
- Bias toward human-in-the-loop verification — never trusting agent output blindly. Exposure to LLMs, prompt engineering, vector search, RAG patterns, or generative AI application development.
- Ability to analyze complex technical problems and translate them into practical, scalable solutions. Strong communication and collaboration skills with cross-functional teams.
- Experience applying AI to software quality, testing, developer tools, or engineering productivity use cases. Knowledge of software telemetry, observability data, and log analysis for defect detection or failure prediction.
- Understanding of secure software development practices. Experience working in Agile product development environments.
- Exposure to synthetic data generation, code intelligence, static analysis, or test data management solutions.
Annual Base Salary Range or Hourly Base Pay Range:
$77,300.00 - $110,250.00
Compensation Type:
Salary
Incentive Eligible:
No
Sales Commission Eligible:
No
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
Thrive at work and at home:
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
- Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
- Educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.
Safety Sensitive Role:
No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
See all 19,656+ AI Software Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Software Developer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Software Developer
Target companies with H-1B filing history
Not every employer that posts an AI developer role will sponsor visas. Focus on companies with a documented history of H-1B filings. Larger tech firms and AI-focused startups backed by institutional funding are the most reliable sponsors.
Emphasize your degree field, not just your title
USCIS approves H-1B petitions for AI roles most easily when your degree is in computer science, software engineering, or a directly related field. A mismatch between your degree and job duties is one of the most common RFE triggers.
Build a portfolio of deployed AI systems
Employers sponsoring AI developers want proof of production-level work, not just research. Projects demonstrating experience with model deployment, fine-tuning, or ML infrastructure significantly strengthen both your application and the specialty occupation argument.
Understand the H-1B lottery timeline before accepting offers
H-1B registration opens in March for an October 1 start date. If you're not currently in valid status with work authorization, you and your employer need to plan around this gap. Cap-exempt employers can hire outside the lottery.
Ask about O-1A eligibility if you have a strong research profile
AI developers with published papers, significant open-source contributions, or speaking credits at recognized conferences may qualify for the O-1A visa. It has no lottery, no cap, and can be filed year-round, making it worth exploring seriously.
Clarify the role scope in your job offer letter
A vague offer letter describing generic software duties weakens the specialty occupation case. The letter should specifically reference AI, machine learning, or related technical disciplines and state that a bachelor's degree in a specific field is required.
Frequently Asked Questions
Is an AI Software Developer role eligible for H-1B sponsorship?
Yes. AI Software Developer roles consistently qualify as specialty occupations under the H-1B visa because they require at least a bachelor's degree in a specific technical discipline such as computer science, artificial intelligence, or software engineering. USCIS has approved thousands of petitions for this job category. The key is that the position description must clearly require a specific degree field, not just any bachelor's degree.
What degree do I need for an employer to sponsor my H-1B as an AI developer?
A bachelor's degree or higher in computer science, software engineering, electrical engineering, mathematics, or a closely related field is the standard requirement. Degrees in unrelated fields combined with years of experience can sometimes work, but they face more scrutiny. If your degree is in a tangential field like business or physics, your employer's attorney will need to build a stronger specialty occupation argument, and an RFE is more likely.
Do AI Software Developer roles have strong H-1B approval rates?
Software-related occupations have historically had approval rates above 90% for H-1B petitions when the specialty occupation criteria are clearly met. AI and machine learning roles have followed this pattern due to well-established degree requirements in the field. The main risk factors are a weak job description, a degree that doesn't align with the role, or filing with an employer who has a history of USCIS scrutiny.
Can I find AI Software Developer jobs that sponsor visas on Migrate Mate?
Yes. Migrate Mate filters specifically for employers willing to sponsor work visas, so every AI Software Developer listing on the platform is from a company open to sponsorship. This saves significant time compared to applying broadly and discovering sponsorship eligibility late in the process. You can browse current openings directly on Migrate Mate.
What visa options exist for AI developers who don't get selected in the H-1B lottery?
Several alternatives are worth considering. The O-1A visa is available for AI developers with demonstrable recognition in their field, such as publications, open-source contributions, or awards, and has no lottery or annual cap. Australians may qualify for the E-3 visa. Canadian and Mexican nationals can use the TN visa for software engineering roles. Some employers also sponsor L-1 visas for internal transfers from overseas offices.
What is the prevailing wage requirement for sponsored AI Software 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.