AI Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's AI engineer job market is anchored by financial services firms in Hartford, defense contractors like Raytheon and Pratt & Whitney in the greater Hartford corridor, and a growing biotech sector around New Haven. Major employers including United Technologies and Cigna have sponsored AI engineering roles, making Connecticut a viable destination for international candidates seeking visa sponsorship.
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Get Access To All JobsJob Summary
The Senior Manager – AI Engagement & Transformation leads business engagement and process transformation efforts that deliver measurable outcomes. This role partners with business stakeholders, IT, and Data & AI teams to identify high-value use cases, translate business needs into scalable AI-enabled process improvements, and drive adoption of AI solutions that deliver measurable outcomes.
The role engages business areas to shape AI use cases, support AI literacy and enablement, facilitate process redesign, and ensure solutions are implemented with appropriate governance, value tracking, and sustainable operating practices. It requires strong leadership, stakeholder management, transformation execution, and the ability to explain complex AI concepts in practical, business-focused terms.
This position reports to the Sr. Director – Data, AI Strategy & Adoption.
Key Responsibilities
- Business engagement & co-design: Lead AI engagement activities, including business-unit workshops, to identify, assess, and prioritize transformation opportunities aligned to strategy, operational needs, measurable value, success metrics, and ROI.
- Transform business processes, pain points, and performance objectives into clear AI-enabled use cases, adoption roadmaps, and actionable transformation plans.
- Develop and support AI engagement plans, including stakeholder alignment, business readiness, AI literacy, and practical enablement activities that drive effective adoption.
- Support the AI initiative lifecycle from engagement and discovery through prioritization, pilot readiness, deployment support, adoption tracking, and performance monitoring.
- Business capability mapping & prioritization: Partner with business leaders to map current- and future-state processes, identify automation and augmentation opportunities, and embed AI capabilities into redesigned ways of working.
- Map technology and AI opportunities to business capabilities, prioritizing high-impact areas such as asset lifecycle optimization and customer experience management for digital enablement and value realization.
- Data, model, and orchestration readiness: Coordinate with data scientists, domain stewards, and D&A architects to ensure AI-ready data, observability, lineage, and model orchestration across IT, OT, and ET systems; validate model robustness and integration with SCADA, ADMS, and GIS where relevant.
- Governance, risk, and compliance liaison: Embed AI governance and risk controls into project lifecycles, including explainability, fairness, privacy, and security; require vendor documentation and lifecycle support; and support enterprise AI governance boards.
- Program measurement & monitoring: Define and track KPIs linked to business outcomes, operational diagnostics, AI agent effectiveness, and adoption metrics; report progress and value realization to executives.
- Vendor engagement: Evaluate vendor pricing, licensing, SLAs, and exit terms; collaborate with IT, platform providers, and procurement to ensure transparency, data return provisions, and lifecycle support.
- Operationalize and sustain: Support pilot-to-production transitions, ensure testing and production monitoring, and coordinate ongoing model validation, drift detection, and lifecycle maintenance.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field, with at least ten (10) years of relevant experience; an equivalent combination of education and experience may be considered.
- Experience in power and utilities or adjacent heavy-asset industries.
- Proven success delivering cross-functional digital or AI initiatives, including productized data solutions, in enterprise environments.
- Background in business analysis, business architecture, operations, or engineering, with practical familiarity in data and AI project delivery.
- Strong business and domain knowledge, including utility capabilities such as asset management, grid operations, customer experience, and DERs, as well as operational constraints related to safety and regulation.
- Demonstrated ability to facilitate cross-functional workshops, co-design processes with operations, OT, HR, and Legal teams, and drive adoption through human-centered change plans.
- Ability to embed governance, ethics, and compliance practices, including explainable AI, fairness reviews, privacy by design, and vendor requirements for transparency and lifecycle accountability.
- Strong measurement and value realization skills, including defining outcome-based metrics, establishing baselines, and tracking ROI and business impact.
- Practical experience supporting AI or automation deployments from pilot to production, including quality gates, testing, monitoring, and sustainment.
- Ability to communicate effectively across executive, business, IT, and quantitative stakeholder groups.
Preferred Qualifications
- Master’s degree in Computer Science, Data Science or a related field or a related field
Competencies
- Growth & Continuous Improvement
- Initiative & Change
- Focused on Results
- Customer Centric (internal and/or external)
- Communication
- Collaboration
- Leadership (people managers/leaders)
Compensation
The base salary range for this position is dependent upon experience and location, ranging from $163,360 to $204,200.
What We Offer:
- Competitive benefits and growth opportunities
- Generous performance-based bonuses
- 12% 401(k) match
- Comprehensive health, dental, and vision insurance
- Tuition reimbursement
- Professional development and clear career advancement pathways
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.
At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.
Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee’s management.
Job Posting End Date:
July-25-2026
Job Summary
The Senior Manager – AI Engagement & Transformation leads business engagement and process transformation efforts that deliver measurable outcomes. This role partners with business stakeholders, IT, and Data & AI teams to identify high-value use cases, translate business needs into scalable AI-enabled process improvements, and drive adoption of AI solutions that deliver measurable outcomes.
The role engages business areas to shape AI use cases, support AI literacy and enablement, facilitate process redesign, and ensure solutions are implemented with appropriate governance, value tracking, and sustainable operating practices. It requires strong leadership, stakeholder management, transformation execution, and the ability to explain complex AI concepts in practical, business-focused terms.
This position reports to the Sr. Director – Data, AI Strategy & Adoption.
Key Responsibilities
- Business engagement & co-design: Lead AI engagement activities, including business-unit workshops, to identify, assess, and prioritize transformation opportunities aligned to strategy, operational needs, measurable value, success metrics, and ROI.
- Transform business processes, pain points, and performance objectives into clear AI-enabled use cases, adoption roadmaps, and actionable transformation plans.
- Develop and support AI engagement plans, including stakeholder alignment, business readiness, AI literacy, and practical enablement activities that drive effective adoption.
- Support the AI initiative lifecycle from engagement and discovery through prioritization, pilot readiness, deployment support, adoption tracking, and performance monitoring.
- Business capability mapping & prioritization: Partner with business leaders to map current- and future-state processes, identify automation and augmentation opportunities, and embed AI capabilities into redesigned ways of working.
- Map technology and AI opportunities to business capabilities, prioritizing high-impact areas such as asset lifecycle optimization and customer experience management for digital enablement and value realization.
- Data, model, and orchestration readiness: Coordinate with data scientists, domain stewards, and D&A architects to ensure AI-ready data, observability, lineage, and model orchestration across IT, OT, and ET systems; validate model robustness and integration with SCADA, ADMS, and GIS where relevant.
- Governance, risk, and compliance liaison: Embed AI governance and risk controls into project lifecycles, including explainability, fairness, privacy, and security; require vendor documentation and lifecycle support; and support enterprise AI governance boards.
- Program measurement & monitoring: Define and track KPIs linked to business outcomes, operational diagnostics, AI agent effectiveness, and adoption metrics; report progress and value realization to executives.
- Vendor engagement: Evaluate vendor pricing, licensing, SLAs, and exit terms; collaborate with IT, platform providers, and procurement to ensure transparency, data return provisions, and lifecycle support.
- Operationalize and sustain: Support pilot-to-production transitions, ensure testing and production monitoring, and coordinate ongoing model validation, drift detection, and lifecycle maintenance.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field, with at least ten (10) years of relevant experience; an equivalent combination of education and experience may be considered.
- Experience in power and utilities or adjacent heavy-asset industries.
- Proven success delivering cross-functional digital or AI initiatives, including productized data solutions, in enterprise environments.
- Background in business analysis, business architecture, operations, or engineering, with practical familiarity in data and AI project delivery.
- Strong business and domain knowledge, including utility capabilities such as asset management, grid operations, customer experience, and DERs, as well as operational constraints related to safety and regulation.
- Demonstrated ability to facilitate cross-functional workshops, co-design processes with operations, OT, HR, and Legal teams, and drive adoption through human-centered change plans.
- Ability to embed governance, ethics, and compliance practices, including explainable AI, fairness reviews, privacy by design, and vendor requirements for transparency and lifecycle accountability.
- Strong measurement and value realization skills, including defining outcome-based metrics, establishing baselines, and tracking ROI and business impact.
- Practical experience supporting AI or automation deployments from pilot to production, including quality gates, testing, monitoring, and sustainment.
- Ability to communicate effectively across executive, business, IT, and quantitative stakeholder groups.
Preferred Qualifications
- Master’s degree in Computer Science, Data Science or a related field or a related field
Competencies
- Growth & Continuous Improvement
- Initiative & Change
- Focused on Results
- Customer Centric (internal and/or external)
- Communication
- Collaboration
- Leadership (people managers/leaders)
Compensation
The base salary range for this position is dependent upon experience and location, ranging from $163,360 to $204,200.
What We Offer:
- Competitive benefits and growth opportunities
- Generous performance-based bonuses
- 12% 401(k) match
- Comprehensive health, dental, and vision insurance
- Tuition reimbursement
- Professional development and clear career advancement pathways
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.
At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.
Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee’s management.
Job Posting End Date:
July-25-2026
AI Engineer Job Roles in Connecticut
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Search AI Engineer Jobs in ConnecticutAI Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for AI engineers?
Hartford-based insurers and financial firms, including Cigna, Aetna, and Hartford Financial Services, have sponsored AI engineering roles through the H-1B visa program. Defense contractors such as Raytheon Technologies and Pratt & Whitney also hire AI engineers and have established sponsorship track records. Biotech and pharmaceutical companies in the New Haven area round out the employer pool for sponsored AI roles in Connecticut.
Which visa types are most common for AI engineer roles in Connecticut?
The H-1B is the most common visa category for AI engineers in Connecticut, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates already in the U.S. on F-1 OPT, including the 24-month STEM extension available for qualifying degrees, often use that period to secure H-1B sponsorship with a Connecticut employer.
Which cities in Connecticut have the most AI engineer sponsorship jobs?
Hartford sees the highest concentration of sponsored AI engineering positions, driven by the insurance and financial services industries headquartered there. New Haven is a secondary hub, supported by Yale University's research ecosystem and a cluster of biotech and healthtech startups. Stamford, given its proximity to New York City and presence of financial and technology firms, also generates a meaningful share of AI engineering roles with sponsorship.
How to find ai engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search AI engineer roles in Connecticut without sorting through positions that don't offer sponsorship. The platform is built for international candidates and surfaces openings from employers who have sponsored similar roles before. Browsing by state and job category on Migrate Mate saves significant time compared to manually vetting postings elsewhere.
Are there any state-specific considerations for AI engineers pursuing sponsorship in Connecticut?
Connecticut's concentration of regulated industries, including insurance, defense, and healthcare, means many AI engineering roles involve compliance-sensitive work, which can add time to hiring decisions and sponsorship paperwork. The University of Connecticut and Yale University supply a pipeline of graduate-level talent that employers already recruit from, so demonstrating specialized machine learning or applied AI expertise gives international candidates a clearer differentiator when competing for sponsored positions.
What is the prevailing wage for sponsored ai 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.