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Generative Ai Insurance Jobs in Connecticut (NOW HIRING)

GXO Logistics

Senior AI Engineer

Greenwich, CT

$62 - $80/hr

... insurance, disability coverage, and more. What you'll do on a typical day * Design, build ... Experience working with large language models (LLMs) or generative AI technologies, including ...

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Research, experiment with, and implement suitable Generative and ML algorithms, tools and ...

GXO Logistics

Senior AI Engineer

Greenwich, CT · On-site

$62 - $80/hr

... insurance, disability coverage, and more. What you'll do on a typical day * Design, build ... Experience working with large language models (LLMs) or generative AI technologies, including ...

New

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

TensorFlow, PyTorch, LangChain Expertise in Generative AI, including: RAG (Retrieval-Augmented ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

... insurance company that goes well beyond coverages and policies. Working here means having every ... AI / generative AI * Experience with CI/CD pipelines, Automated Testing, Automated Deployments ...

COCC

AI Governance Program Manager

Rocky Hill, CT · On-site

$150K - $195K/yr

... insurance, or critical infrastructure • Strong understanding of AI and machine learning technologies including generative AI and large language models • Experience developing governance ...

Socket.dev

Senior Applied AI & Data Scientist

New Haven, CT · On-site

$122 - $207.50/hr

... Insurance, Investments, Membership, and Charities. This role blends advanced analytics, machine learning, and generative AI (LLMs) with strong product and engineering execution operating within a ...

New

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All JobsGenerative Ai Insurance JobsGenerative Ai Insurance Jobs in Connecticut

Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.
What are popular job titles related to Generative Ai Insurance jobs in Connecticut? For Generative Ai Insurance jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Connecticut look for? The top searched job categories for Generative Ai Insurance jobs in Connecticut are:
What cities in Connecticut are hiring for Generative Ai Insurance jobs? Cities in Connecticut with the most Generative Ai Insurance job openings:
Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Vice President, Applied AI Science for EB, Ops, and Customer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Re-posted yesterday

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 303 rated insurance

Job description

VP Data Science - GD04AE
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 hiring a Vice President, Applied AI - Employee Benefits & Operations to define and lead the next generation of AI-driven transformation across the business. This role is responsible for driving Applied AI and Data Science strategy, execution, and governance across enrollment, billing, customer service, and operational functions, delivering measurable improvements in growth, efficiency, accuracy, and customer experience. The leader will oversee a diverse portfolio of Machine Learning, Generative AI, Agentic AI, and predictive analytics solutions while influencing enterprise AI strategy, championing responsible AI practices, and building organizational capability to accelerate The Hartford's AI-powered future.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NC) will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Own Applied AI strategy and integrated data science outcomes across Employee Benefits and Operations, including employer lifecycle, enrollment, billing, service delivery, and operational functions, ensuring alignment to enterprise AI priorities while tailoring execution to domain-specific needs.
  • Define domain-level Applied AI strategy and influence enterprise AI direction through evidence-based recommendations, technical insight, and cross-functional alignment.
  • Lead executive decision-making across supported lines of business, driving trade-offs across quality, risk, cost, scalability, and time-to-value for Applied AI and data science initiatives.
  • Drive transformation of Employee Benefits and Operations processes through Applied AI and data science, including enrollment optimization, service automation, contact center intelligence, billing accuracy, and employer/member experience across the full lifecycle.
  • Lead application and execution of the enterprise Applied AI operating model within domain scope, ensuring teams effectively operate within defined decision rights, engagement models, and delivery governance across multiple portfolios.
  • Ensure consistent adherence to enterprise AI governance frameworks across portfolios, including application of evaluation, monitoring, model risk management, and responsible AI practices in alignment with enterprise standards and regulatory expectations.
  • Set direction for evaluation and performance measurement across solutions, spanning generative and agentic AI, retrieval-augmented systems, and traditional models including persistency, enrollment forecasting, service demand prediction, billing accuracy, and operational performance optimization.
  • Oversee end-to-end Applied AI and data science lifecycle across portfolios, from problem framing through model development, validation, deployment, monitoring, and continuous improvement.
  • Lead the identification and integration of new data sources, AI tooling, and quantitative methods into Employee Benefits and Operations workflows, improving service delivery, accuracy, scalability, and cost efficiency.
  • Oversee domain-level AI risk posture and model governance, ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners and maintaining readiness for regulatory review.
  • Drive cross-line of business prioritization, investment planning, and workforce strategy, aligning initiatives to measurable business outcomes and capacity constraints.
  • Champion reuse, standardization, and componentization of Applied AI and data science assets, ensuring alignment with enterprise AI platform strategy and enabling scalable deployment across portfolios.
  • Partner with Employee Benefits, Operations, Technology, and Service leaders to embed Applied AI into employer onboarding, enrollment, billing, service, and operational strategies.
  • Design and scale the Applied AI leadership system across supported lines of business, including succession pipelines, capability frameworks, and long-term talent architecture.
  • Define and lead a domain-level Applied AI research and innovation agenda, balancing near-term delivery with exploration of emerging techniques, tools, and capabilities.
  • Monitor external AI, healthcare benefits, and regulatory trends (e.g., HIPAA, ERISA, data privacy), industry practices, and competitor capabilities to maintain competitive positioning and inform strategic direction.

Skills
  • Demonstrated ability to lead Applied AI and data science strategy and execution across multiple lines of business or complex domains within a regulated enterprise environment.
  • Proven experience leading leaders of leaders and scaling organizational capability across multiple teams, portfolios, and disciplines including Applied AI and data science.
  • Strong technical and regulatory fluency across Applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring frameworks, and production AI operations.
  • Deep expertise in data science and quantitative methods, including forecasting, operational optimization, service analytics, demand modeling, persistency analysis, and cost/efficiency modeling.
  • Applied understanding of unstructured data and retrieval approaches, as well as structured data modeling and feature engineering to support business decision-making.
  • Strong expertise in AI governance, model risk management, and responsible AI practices, with the ability to apply these consistently across both AI systems and traditional models.
  • Demonstrated ability to drive business process transformation through the application of data science and Applied AI, including automation, optimization, and decision support.
  • Ability to influence senior executives and enterprise forums through clear, data-driven communication of technical trade-offs, risks, and business impact.
  • Experience driving cross-LOB prioritization, investment decisions, and workforce planning aligned to measurable outcomes at scale.
  • Strong business acumen with the ability to connect analytical outputs to Employee Benefits outcomes, including employer growth, enrollment, persistency, billing accuracy, service experience, and operational efficiency.
  • Ability to balance long-term strategic direction with near-term execution and delivery effectiveness across a diverse portfolio of use cases.
  • Strong judgment navigating regulatory, operational, and technical complexity across multiple domains and lines of business.
  • Experience applying AI to service operations, including contact center intelligence, document processing, workflow automation, and customer experience optimization.

Education, Experience, Certifications and Licenses
  • 20+ years of applicable experience in Applied AI, data science, machine learning, or related quantitative fields.
  • 10+ years leading large, complex organizations, including leadership of senior leaders across multiple teams, portfolios, or domains.
  • Demonstrated experience operating at VP level, influencing enterprise direction while owning outcomes across multiple lines of business or domains.
  • Strong experience applying data science and AI within Employee Benefits, healthcare-related domains, or complex service-heavy insurance operations preferred.
  • Bachelor's degree required; Master's or Ph.D. in a quantitative, technical, actuarial, or business field preferred and may offset experience.

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:
$225,600 - $338,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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