ML Software Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's ml software engineer job market centers on Stamford's finance and insurance tech sector, Hartford's insurance industry giants like The Hartford and Travelers, and a growing corridor of biotech and defense firms. Companies here regularly sponsor H-1B visa and O-1 visas for machine learning talent, with Yale University and UConn feeding local hiring pipelines.
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Get Access To All JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise.
The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment.
Key Responsibilities
- Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
- Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development.
- Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions.
- Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption.
- Drive the design and development of AI/ML and GenAI solutions.
- Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery.
- Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery.
- Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards.
- Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning.
- Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders.
- Report on program progress, risks, and value delivered to senior leadership.
Required Qualifications
- 8+ years of people management experience, including building, leading, and developing high-performing engineering teams.
- 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
- Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration.
- Proficiency in Python and full-stack development, including designing and building APIs.
- Hands-on experience with cloud platforms (Azure, GCP) and container orchestration using Kubernetes.
- Experience working with vector databases in support of AI/ML and GenAI solutions.
- Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock).
- Strong proficiency in SQL, data analytics, and automation.
- Proven experience with DevOps practices and CI/CD pipelines.
- Excellent communication and interpersonal skills, with a demonstrated ability to engage effectively with business leaders and translate business requirements into actionable technical plans.
- Experience operating within a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
- Strong strategic thinking and program management skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.
Preferred Qualifications
- Experience within Finance or a similar regulated financial services function.
- Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
- Experience with agentic AI frameworks and orchestration tools.
- Experience building and scaling low-code/no-code AI solutions (Copilot Studio agents, Power Automate flows, Claude Skills) as an enablement pattern for business and IT partners.
- Experience designing or implementing semantic context layer using vector database and/or knowledge graph architectures to support GenAI and RAG solutions.
- Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
- Experience presenting to and influencing executive-level stakeholders.
- Track record of driving organizational change and technology adoption at scale.
Education
Bachelor or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise.
The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment.
Key Responsibilities
- Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
- Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development.
- Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions.
- Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption.
- Drive the design and development of AI/ML and GenAI solutions.
- Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery.
- Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery.
- Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards.
- Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning.
- Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders.
- Report on program progress, risks, and value delivered to senior leadership.
Required Qualifications
- 8+ years of people management experience, including building, leading, and developing high-performing engineering teams.
- 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
- Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration.
- Proficiency in Python and full-stack development, including designing and building APIs.
- Hands-on experience with cloud platforms (Azure, GCP) and container orchestration using Kubernetes.
- Experience working with vector databases in support of AI/ML and GenAI solutions.
- Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock).
- Strong proficiency in SQL, data analytics, and automation.
- Proven experience with DevOps practices and CI/CD pipelines.
- Excellent communication and interpersonal skills, with a demonstrated ability to engage effectively with business leaders and translate business requirements into actionable technical plans.
- Experience operating within a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
- Strong strategic thinking and program management skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.
Preferred Qualifications
- Experience within Finance or a similar regulated financial services function.
- Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
- Experience with agentic AI frameworks and orchestration tools.
- Experience building and scaling low-code/no-code AI solutions (Copilot Studio agents, Power Automate flows, Claude Skills) as an enablement pattern for business and IT partners.
- Experience designing or implementing semantic context layer using vector database and/or knowledge graph architectures to support GenAI and RAG solutions.
- Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
- Experience presenting to and influencing executive-level stakeholders.
- Track record of driving organizational change and technology adoption at scale.
Education
Bachelor or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
ML Software Engineer Job Roles in Connecticut
See all 81+ ML Software Engineer Jobs in Connecticut
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Search ML Software Engineer Jobs in ConnecticutML Software Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for ML software engineers?
Hartford-based insurers The Hartford and Travelers have a consistent record of H-1B sponsorship for machine learning roles. UTC (now RTX) and Sikorsky in Stratford sponsor ML engineers in defense and aerospace applications. Stamford's finance and fintech firms, including several hedge funds and insurance analytics companies, also file H-1B petitions for ML software engineers with regularity. Sponsorship activity is verifiable through DOL LCA disclosure data.
Which visa types are most common for ML software engineer roles in Connecticut?
The H-1B is the dominant visa category for ML software engineers in Connecticut, as machine learning roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The O-1A is an option for engineers with demonstrated exceptional ability. Candidates already on F-1 OPT or STEM OPT can work for Connecticut employers during that period before an H-1B petition is filed.
Which cities in Connecticut have the most ML software engineer sponsorship jobs?
Stamford and Hartford account for the largest share of ML software engineer sponsorship activity in Connecticut. Stamford attracts finance, media, and insurance tech employers, while Hartford is the center of the state's insurance industry and hosts companies with long sponsorship histories. New Haven has a smaller but active cluster tied to Yale University's research ecosystem and affiliated biotech and AI startups.
How to find ml software engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML software engineer roles in Connecticut where employers are actively willing to sponsor. You can search by state and role to surface positions at Hartford insurers, Stamford finance firms, and New Haven tech companies. Reviewing DOL LCA disclosure data alongside Migrate Mate listings helps confirm which Connecticut employers have a verified sponsorship track record.
Are there state-specific considerations for ML software engineers pursuing sponsorship in Connecticut?
Connecticut's concentration of insurance and financial services employers means many ML engineering roles focus on predictive modeling, risk analytics, and fraud detection, which shapes what technical background sponsors are looking for. The state's proximity to New York can create competing offers, but Connecticut employers often have less H-1B competition than New York City firms. Yale and UConn maintain research partnerships with local industry, which can be a pipeline for candidates seeking sponsoring employers.
What is the prevailing wage for sponsored ml 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.