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Generative Ai Insurance Jobs in Connecticut (NOW HIRING)

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Comprehensive health, dental, and vision insurance * Tuition reimbursement * Professional ... The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will ...

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Comprehensive health, dental, and vision insurance * Tuition reimbursement * Professional ... The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will ...

Guardian created theData Science Lab (DSL)to reimagine insurance in light of emerging technology ... Apply LLMs and generative AI to process and interpret unstructured data such as contracts, claims ...

... insurance company that goes well beyond coverages and policies. Working here means having every ... This role will focus on building agentic AI systems, generative AI workflows, and scalable data ...

... insurance, disability and more. What you'll do on a typical day: * Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation ...

... insurance, disability and more. What you'll do on a typical day: * Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation ...

New

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

... in the insurance or broader financial services industry * 1+ years SQL development experience * Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and ...

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 ...

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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:
Infographic showing various Generative Ai Insurance job openings in Connecticut as of July 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Lead Engineer - Cloud & Gen AI

Iberdrola

Orange, CT • On-site

$59.75 - $79.75/hr

Other

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

Lead Engineer - Cloud & Gen AI

Reports to: Senior Manager - IT Infrastructure
Location: In Office, Orange CT

The base salary range for this position is dependent upon experience and location, ranging from:

  • $141,120 - $176,400

What We Offer:

  • Competitive benefits and growth opportunities
  • Generous performancebased bonuses
  • 12% 401(k) match
  • Comprehensive health, dental, and vision insurance
  • Tuition reimbursement
  • Professional development and clear careeradvancement pathways

For more information, please visit: Benefits - Avangrid

Job Summary

The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud infrastructure solutions on AWS and Azure to support cutting-edge Generative AI applications. This role requires collaboration with data scientists and AI researchers to deploy and optimize AI models, ensuring the security, reliability, and performance of cloud-based AI systems. The incumbent will utilize Infrastructure as Code (IaC) tools, such as Terraform, to automate cloud infrastructure provisioning and management.

The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will guide team members on cloud and AI-related projects, while problem-solving skills to troubleshoot and resolve issues related to cloud infrastructure and AI model deployment. This role is expected to remain up to date with the latest advancements in AWS, Azure, and Generative AI, you will apply this knowledge to continuously improve our systems. Your documentation of best practices, processes, and procedures will ensure smooth cloud and AI operations.

This role will report into the Senior Manager - IT Infrastructure.

Key Responsibilities

  • Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.

  • Collaborates with data scientists and AI researchers to deploy and optimize AI models.

  • Ensures the security, reliability, and performance of cloud-based AI systems.

  • Utilizes Terraform for infrastructure as Code (IaC) automation.

  • Provides technical leadership and mentorship to team members.

  • Remains current with advancements in AWS, Azure, and Generative AI.

  • Troubleshoots and resolves cloud infrastructure and AI model deployment issues.

  • Documents best practices, processes, and procedures.

  • Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure to support Generative AI applications.

Required Qualifications

  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field and a minimum of 10 years of relevant experience. An equivalent combination of education and experience may be considered.

  • Demonstrated experience designing and implementing large scale complex network solutions.

  • Three or more years of AI experience.

  • Proven experience as a Cloud Engineer with a strong understanding of AWS and Azure cloud platforms.

  • Proficiency in machine learning (ML) and AI models.

  • Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar.

  • Proficiency in programming languages such as Python, Java, or .NET.

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

  • Hands-on experience with Terraform for Infrastructure as Code (IaC).

  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

  • Excellent communication and interpersonal skills.

  • Demonstrated expertise in vector databases and their application within the GenAI framework.

  • Desirable knowledge of AI Agents through orchestrators.

  • Desirable knowledge of frameworks such as Langchain, Semantic Kernel, Spring AI.

Preferred Qualifications

  • Five years of AI experience

  • Certifications in AWS and Azure technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

#LI-Onsite

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Company:

AVANGRID SERVICE COMPANY

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:

August-31-2026