Senior AI Software Engineer Visa Sponsorship Jobs in Connecticut
Senior AI software engineer visa sponsorship jobs in Connecticut are concentrated around Hartford, Stamford, and the New Haven corridor, with employers like Cigna, United Technologies, and Yale New Haven Health investing in AI-driven product teams. Connecticut's proximity to New York and its growing insurtech and fintech sectors make it a realistic market for international candidates in this field.
Find Senior AI Software Engineer JobsOverview
Showing 5 of 114+ Senior AI Software Engineer Jobs in Connecticut with Visa Sponsorship
See all 114+ Senior AI Software Engineer Jobs in Connecticut with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer Jobs in Connecticut with Visa Sponsorship.
Get Access To All JobsJob Details
Location:
Hartford, CT
Category:
Information Technology
Employment Type:
Full time
Job Ref:
R2626281-168
Staff Software Engineer - IE07IE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is searching for a Staff Software Engineer within the Personal Lines organization specializing in Quality Engineering and QA as we deliver on our strategic investment portfolio through our value streams. This role will serve as both a hands-on technical contributor and a strategic quality leader and is responsible for designing, building, and evolving quality engineering practices across a hybrid technology landscape that includes modern cloud-native platforms as well as vendor-based systems. The ideal candidate combines deep engineering expertise with strong leadership, influence, and a pragmatic approach to improving quality at scale.
Responsibilities:
- Quality Engineering Strategy & Operating Model: Define, evolve, and govern the Quality Engineering strategy, standards, and operating model to ensure consistent, scalable, and high-quality delivery.
- Test Automation Architecture & Frameworks: Design, implement, and maintain robust automated test frameworks across application, enabling reliable and repeatable validation of complex systems.
- Hands-On Test Automation & Problem Solving: Drive test automation through hands-on creation of automated test cases, review of automation delivered by teams, and resolution of complex automation challenges.
- Defect Analysis & System Diagnostics: Diagnose and resolve complex defects across distributed systems and third-party integrations.
- System Testability & Reliability Engineering: Improve system testability, observability, and reliability through direct code contributions and collaboration on system and application design.
- End-to-End Quality Execution: Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.
- Mentorship & Engineering Excellence: Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.
- AI & GenAI-Driven Innovation: Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
Minimum Qualifications
- Experience: 8+ years of software engineering experience, including 5+ years in Quality Engineering, Test Automation, or Quality leadership roles.
- Technical & Engineering Expertise: Demonstrated experience testing and automating for diverse technology platforms (E.g. Java, .NET, SaaS, COTS, and Mainframe) including cloud-native applications on AWS and/or GCP, including containerized and microservices-based architectures along with strong experience in API and contract testing (e.g., REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.
- Test Automation & Quality Engineering: Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in modern test tools and frameworks such as Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.
- Quality Metrics & Outcomes: Proven ability to define, track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
- Agile & Scaled Delivery: Demonstrated track record of testing and quality execution within Agile and Scaled Agile frameworks, including sprint-level testing, end-to-end validation, and regression/stabilization testing.
- Leadership & Strategic Balance: Proven ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.
- Soft Skills: Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.
Preferred Qualifications
- AI & Innovation: Experience applying AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
- Domain Knowledge: Experience within insurance, financial services, or other highly regulated domains is a plus.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
- $116,000 - $174,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Job Details
Location:
Hartford, CT
Category:
Information Technology
Employment Type:
Full time
Job Ref:
R2626281-168
Staff Software Engineer - IE07IE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is searching for a Staff Software Engineer within the Personal Lines organization specializing in Quality Engineering and QA as we deliver on our strategic investment portfolio through our value streams. This role will serve as both a hands-on technical contributor and a strategic quality leader and is responsible for designing, building, and evolving quality engineering practices across a hybrid technology landscape that includes modern cloud-native platforms as well as vendor-based systems. The ideal candidate combines deep engineering expertise with strong leadership, influence, and a pragmatic approach to improving quality at scale.
Responsibilities:
- Quality Engineering Strategy & Operating Model: Define, evolve, and govern the Quality Engineering strategy, standards, and operating model to ensure consistent, scalable, and high-quality delivery.
- Test Automation Architecture & Frameworks: Design, implement, and maintain robust automated test frameworks across application, enabling reliable and repeatable validation of complex systems.
- Hands-On Test Automation & Problem Solving: Drive test automation through hands-on creation of automated test cases, review of automation delivered by teams, and resolution of complex automation challenges.
- Defect Analysis & System Diagnostics: Diagnose and resolve complex defects across distributed systems and third-party integrations.
- System Testability & Reliability Engineering: Improve system testability, observability, and reliability through direct code contributions and collaboration on system and application design.
- End-to-End Quality Execution: Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.
- Mentorship & Engineering Excellence: Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.
- AI & GenAI-Driven Innovation: Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
Minimum Qualifications
- Experience: 8+ years of software engineering experience, including 5+ years in Quality Engineering, Test Automation, or Quality leadership roles.
- Technical & Engineering Expertise: Demonstrated experience testing and automating for diverse technology platforms (E.g. Java, .NET, SaaS, COTS, and Mainframe) including cloud-native applications on AWS and/or GCP, including containerized and microservices-based architectures along with strong experience in API and contract testing (e.g., REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.
- Test Automation & Quality Engineering: Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in modern test tools and frameworks such as Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.
- Quality Metrics & Outcomes: Proven ability to define, track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
- Agile & Scaled Delivery: Demonstrated track record of testing and quality execution within Agile and Scaled Agile frameworks, including sprint-level testing, end-to-end validation, and regression/stabilization testing.
- Leadership & Strategic Balance: Proven ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.
- Soft Skills: Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.
Preferred Qualifications
- AI & Innovation: Experience applying AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
- Domain Knowledge: Experience within insurance, financial services, or other highly regulated domains is a plus.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
- $116,000 - $174,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Senior AI Software Engineer Job Roles in Connecticut
See all 114+ Senior AI Software Engineer Jobs in Connecticut
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior AI Software Engineer Jobs in ConnecticutSenior AI Software Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for senior AI software engineers?
Connecticut employers with a track record of H-1B visa sponsorship in AI and software engineering include Cigna, The Hartford, Synchrony Financial, Pratt & Whitney, and Booz Allen Hamilton. Yale University and UConn Health also sponsor senior engineering roles in applied AI. Sponsorship patterns vary by team and hiring cycle, so confirming directly with each employer during the application process is important.
Which visa types are most common for senior AI software engineer roles in Connecticut?
The H-1B is the most common visa for senior AI software engineers in Connecticut, as these roles consistently meet the specialty occupation standard requiring a bachelor's degree or higher in computer science, machine learning, or a related field. The O-1A is an option for engineers with a strong record of publications, patents, or industry recognition. Candidates with Canadian or Mexican citizenship may also qualify for the TN visa under the USMCA.
How to find senior ai software engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find senior AI software engineer roles in Connecticut without sorting through positions that don't offer sponsorship. You can search by state and role to surface employers actively hiring in Hartford, Stamford, and surrounding areas. This saves significant time compared to manually reviewing individual job postings for sponsorship details.
Which cities in Connecticut have the most senior AI software engineer sponsorship jobs?
Stamford and Hartford account for the largest share of senior AI software engineering sponsorship activity in Connecticut. Stamford's proximity to New York City attracts financial services and data-driven companies with established visa programs. Hartford is the center of Connecticut's insurance technology sector, with companies like Cigna and The Hartford running large engineering organizations. New Haven also has opportunities tied to Yale University and its affiliated research and health tech ventures.
Are there any Connecticut-specific factors senior AI software engineers should know about when seeking visa sponsorship?
Connecticut's insurance and financial services industries drive much of the demand for senior AI engineers, so candidates with experience in predictive modeling, NLP, or risk analytics are particularly competitive. The state's two major research universities, Yale and UConn, create a pipeline of AI talent and industry partnerships that influence what skills employers prioritize. Prevailing wage requirements for H-1B petitions are determined by the Department of Labor and vary by occupation and county within Connecticut, which employers must account for in their filings.
What is the prevailing wage for sponsored senior ai software engineer jobs in Connecticut?
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.