Senior AI Software Engineer Jobs in USA with Visa Sponsorship
Senior AI Software Engineer roles are among the most actively H-1B visa sponsored positions in the U.S. tech industry. Employers regularly petition for candidates with machine learning expertise, and the specialty occupation requirement is straightforward to satisfy with a relevant bachelor's degree or higher. 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 19,646+ Senior AI Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior AI Software Engineer
Target companies with H-1B sponsorship history
Large tech employers like Google, Microsoft, Amazon, and Meta sponsor hundreds of AI engineering roles annually. Focusing your search on companies with a demonstrated H-1B filing history dramatically improves your odds of receiving a sponsorship offer.
Emphasize your ML stack in applications
Employers filing H-1B petitions for AI engineers need to justify the specialty occupation requirement. A resume that clearly maps your PyTorch, TensorFlow, or LLM experience to the specific role description strengthens both your application and their petition.
Start the H-1B process before your OPT expires
H-1B cap filings open in March for an October 1 start date. If your OPT expires before October, confirm your employer will apply for a cap-gap extension to keep you authorized through the transition without a gap in employment.
Consider O-1A if you have notable research or publications
Senior AI engineers with published papers, patents, or conference presentations at NeurIPS or ICML may qualify for the O-1A extraordinary ability visa. It bypasses the H-1B lottery entirely and can be filed year-round without a cap.
Understand how the H-1B lottery affects your timeline
With a roughly 25% selection rate, H-1B lottery results are uncertain. Discuss backup authorization strategies with your employer early, including OPT extensions, L-1 visa transfers if you have overseas experience, or cap-exempt employer options like universities.
Browse roles on Migrate Mate to filter for sponsorship
Not every job posting makes visa sponsorship clear upfront. Migrate Mate surfaces Senior AI Software Engineer roles from employers actively open to sponsorship, saving you time and reducing the uncertainty of cold applications to companies with no sponsorship track record.
Frequently Asked Questions
Does a Senior AI Software Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Senior AI Software Engineer positions consistently qualify as H-1B visa specialty occupations because the role requires at minimum a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field. USCIS has approved thousands of H-1B petitions for AI and machine learning engineering roles. Employers should document that the degree requirement is standard industry practice for the position, which is well-established in AI engineering.
What degree do I need for visa sponsorship as a Senior AI Software Engineer?
Most employers and USCIS require a bachelor's degree or higher in computer science, data science, mathematics, or a related technical field. A degree in an unrelated field is unlikely to satisfy the specialty occupation standard unless paired with substantial graduate coursework in AI or ML. If your degree is from outside the U.S., a credential evaluation confirming U.S. equivalency strengthens the petition.
How competitive is H-1B sponsorship for AI engineering roles compared to other tech jobs?
AI and machine learning engineering roles are among the most frequently sponsored H-1B occupations. Employers are highly motivated to sponsor because qualified candidates are scarce relative to demand. That said, H-1B selection is determined by lottery, not by role type or employer. Your best lever is targeting large employers with cap-exempt research divisions or companies with strong petition approval histories. Migrate Mate can help you identify which employers are actively sponsoring.
Can I get sponsored on an E-3 or TN visa as a Senior AI Software Engineer?
Australian citizens can pursue sponsorship through the E-3 visa, which has no lottery and a far higher approval rate than H-1B. Senior AI Software Engineer roles qualify as specialty occupations under E-3 with the same degree requirements. Canadian and Mexican nationals may qualify under the TN visa's computer systems analyst category, though the role title and duties need to map precisely to the approved TN occupation list.
Do employers need to pay anything to sponsor a Senior AI Software Engineer on an H-1B?
Yes, and the employer bears those costs, not the employee. Filing fees vary by employer size and whether premium processing is used, but they are legally required to cover all mandatory H-1B costs. Employers cannot pass government filing fees to the employee. If a company asks you to cover H-1B filing costs, that is a legal violation and a red flag. Most legitimate tech employers absorb these costs without hesitation.
What is the prevailing wage requirement for sponsored Senior AI Software Engineer 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.