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Generative Ai Insurance Jobs in Florida (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Develop advanced Generative AI applications leveraging Large Language Models (LLMs), RAG ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Build and optimize Generative AI and LLM-based applications. * Fine-tune foundation models for ... Health, Dental, and Vision Insurance * Performance Bonus * Flexible Work Hours * Remote Work ...

New

Kforce Technology Staffing

AI/ML Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Support generative AI initiatives and explore emerging AI technologies * Mentor junior team members ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Amgen Inc. (IR)

Principal Architect

Jacksonville, FL · On-site

$144.42 - $195.40/hr

Principal Architect - Machine Learning & Generative AI In this role you will build and scale ... Comprehensive benefits package including health, dental, vision, life and disability insurance ...

Spotify

Senior Engineering Manager - ML

Miami, FL · On-site

$227K - $324K/yr

Generative AI is transforming Spotify's product capabilities and technical architecture. Agent ... The benefits available for this position include health insurance, six-month paid parental leave ...

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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 Florida? For Generative Ai Insurance jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Florida look for? The top searched job categories for Generative Ai Insurance jobs in Florida are:
What cities in Florida are hiring for Generative Ai Insurance jobs? Cities in Florida with the most Generative Ai Insurance job openings:
Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution.
Applied AI Engineer (Generative AI)

Applied AI Engineer (Generative AI)

Cognizant Technology Solutions

Sunrise, FL • On-site

$112K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 73 rated business consultants

Job description

Applied AI Engineer (Generative AI)
We are seeking an Applied AI Engineer with experience in Generative AI, React, and JavaScript/TypeScript to build intelligent solutions that enhance developer productivity and accelerate software delivery. This is an exciting opportunity to work on cutting-edge AI applications, integrating LLMs, agentic workflows, and modern engineering practices into enterprise-scale platforms.
Important Disclaimers:
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
  • Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
  • Build and integrate agentic AI solutions using technologies such as LangGraph, RAG, and MCP.
  • Develop modern applications using React and JavaScript/TypeScript.
  • Deploy and maintain scalable AI solutions in production environments.
  • Collaborate with cross-functional teams to solve complex technical challenges.
  • Ensure solutions meet enterprise standards for performance, security, reliability, and compliance.
  • Support CI/CD pipelines and containerized deployments.

Work Model:
Hybrid
Location:
Sunrise , Florida
What you need to have to be considered:
  • 5+ years of software development experience.
  • Strong experience with React and JavaScript/TypeScript.
  • Hands-on experience with Generative AI, LLMs, and Prompt Engineering.
  • Experience with LangGraph, RAG, or MCP-based integrations.
  • Experience with CI/CD pipelines and containerized deployments.
  • Strong problem-solving skills and attention to detail.
  • Ability to work effectively in a collaborative team environment.

Nice to Have
  • Experience with cloud platforms such as AWS or Azure.
  • Experience building AI-enabled enterprise applications.
  • Familiarity with Agile development methodologies.

Salary and Other Compensation:
The annual salary for this position is between $112,000 - $131,500, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid Holidays plus Paid Time Off
  • 401(k) Plan and Contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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