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Generative Ai Insurance Jobs in Florida (NOW HIRING)

Demonstrated experience designing, building, and operating AI agents, copilots, or generative AI ... Medical, dental, vision, and life insurance options * Paid time off and paid holidays Equal ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... Generative AI Solutions: Develop applications powered by Large Language Models using LangChain ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

... Generative AI Solutions: Develop applications powered by Large Language Models using LangChain ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Showing results 41-60

Generative Ai Insurance information

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.

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 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 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 cities in Florida are hiring for Generative Ai Insurance jobs?

Cities in Florida with the most Generative Ai Insurance job openings:

Infographic showing various Generative Ai Insurance job openings in Florida as of September 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 67% In-person, 13% Hybrid, and 20% Remote job distribution.

Information Technology_USA - USA_Business Analyst

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Contractor

Re-posted 11 days ago


Job description

Onsite to Bridgewater, NJ only!
Must Have Technical/Functional Skills
Functional Skills
• Product Ownership, Insurance Domain Expertise, Business Analysis, Requirement Elicitation, Backlog Management, Stakeholder Management, User Story Mapping, Release Planning, Product Roadmap Development, UAT SupportUAT SupportUAT Support
Agile Skills
• Agile Scrum Framework, Sprint Planning, Product Backlog Grooming, Story Point Estimation, T-Shirt Sizing Techniques, Incremental Product Delivery, Agile Metrics & Reporting, SAFe Agile (Preferred)
AI & Emerging Technology Skills
• Basic understanding of:
o Generative AI (GenAI)
o Agentic AI
o Large Language Models (LLMs)
o Prompt Engineering
o AI-powered Product Management
o AI Governance and Responsible AI Principles
• Ability to identify and document AI-driven business opportunities.
Management, User Story Mapping, Release Planning, Product Roadmap Development, UAT SupportUAT SupportUAT Support
Roles & Responsibilities
Product Ownership & Agile Delivery
• Own and manage the Product Backlog, ensuring alignment with business goals and strategic priorities.
• Define and maintain product roadmaps, release plans, and sprint objectives.
• Lead backlog refinement, story grooming, sprint planning, sprint reviews, and other Agile ceremonies.
• Collaborate with stakeholders to identify business needs and prioritize product enhancements.
• Partner with Scrum Masters and development teams to ensure successful sprint execution.
Requirements Analysis & Solution Definition
• Elicit, analyze, and document business requirements from stakeholders.
• Translate business requirements into solution requirements and actionable development tasks.
• Create and manage:
o Epics
o Features
o User Stories
o Acceptance Criteria
o Business Process Flows
o Functional Specifications
• Clearly communicate business context and expected outcomes to development and QA teams.
• Facilitate workshops, process discussions, and requirement review sessions.
Targetprocess & Agile Tools
• Utilize Targetprocess extensively for:
o Product backlog management
o Epic and feature creation
o User story definition
o Release planning
o Capacity planning
o Agile reporting and tracking
• Ensure traceability from business objectives through delivery and deployment.
Estimation & Planning
• Lead story estimation exercises using:
o T-Shirt Sizing
o Story Points
o Relative Estimation Techniques
• Support sprint forecasting, dependency management, and release planning.
• Identify product risks, impediments, and mitigation strategies.
Insurance Domain Responsibilities
• Work closely with business and technology teams across:
o Policy Administration
o Claims Management
o Underwriting
o Billing & Payments
o Customer Experience
o Agency/Broker Operations
• Drive modernization and digital transformation initiatives within insurance platforms.
• Ensure regulatory, compliance, and operational requirements are appropriately addressed.
GenAI & Agentic AI Responsibilities
• Collaborate with business and technology teams to identify opportunities for Generative AI solutions across insurance operations.
• Understand foundational GenAI concepts including:
o Large Language Models (LLMs)
o Retrieval-Augmented Generation (RAG)
o Prompt Engineering
o AI-assisted workflow automation
o AI-driven customer service and claims support
• Participate in defining business use cases leveraging AI technologies.
• Work with solution architects and AI teams to translate AI opportunities into product features and backlog items.
• Demonstrate understanding of Agentic AI concepts, including:
o Autonomous AI agents
o Multi-agent workflows
o Goal-based task execution
o Human-in-the-loop decision frameworks
o AI orchestration and workflow automation
• Evaluate business value, risks, governance, and compliance considerations associated with AI-enabled solutions.
Role Descriptions: Own and manage the Product Backlog| ensuring alignment with business goals and strategic priorities.Define and maintain product roadmaps| release plans| and sprint objectives.Lead backlog refinement| story grooming| sprint planning| sprint reviews| and other Agile ceremonies.Collaborate with stakeholders to identify business needs and prioritize product enhancements.Partner with Scrum Masters and development teams to ensure successful sprint execution.
Essential Skills: Work closely with business and technology teams across: oPolicy AdministrationoClaims ManagementoUnderwritingoBilling & PaymentsoCustomer ExperienceoAgency/Broker OperationsDrive modernization and digital transformation initiatives within insurance platforms.Ensure regulatory| compliance| and operational requirements are appropriately addressed.
Desirable Skills:
Keyword:
Skills: Domain : Product Ownership
Experience Required: 10 & Above