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Generative Ai Insurance Jobs (NOW HIRING)

AIG

Generative AI Product Owner

Atlanta, GA · On-site

Generative AI Product Owner Be part of something groundbreaking At AIG, we are making long-term ... Who we are AIG is a leading global insurance organization providing a wide range of property ...

6090-Johnson & Johnson Services Inc. Legal Entity

ND · On-site

$79 - $127.65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure that all Generative AI output adheres to rules and guidelines defined by legal, compliance ... Company‑sponsored benefits include medical, dental, vision, life insurance, disability insurance ...

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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 cities are hiring for Generative Ai Insurance jobs?

Cities with the most Generative Ai Insurance job openings:

What states have the most Generative Ai Insurance jobs?

States with the most job openings for Generative Ai Insurance jobs include:

What job categories do people searching Generative Ai Insurance jobs look for?

The top searched job categories for Generative Ai Insurance jobs are:

Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Generative AI Lead Engineer

Cognizant Technology Solutions

Dallas, TX • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 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 72 rated business consultants

Job description

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About the role
As a Generative AI Engineer, you will make an impact by designing and building advanced AI-powered applications and scalable solutions using modern technologies such as .NET, React, Python, and large language models (LLMs). You will be a valued member of the engineering team, collaborating with cross-functional stakeholders to drive innovation and accelerate AI adoption across enterprise workflows.
In this role, you will:
  • Design and develop AI-powered web applications using Generative AI tools (e.g., Claude) and modern frameworks (.NET, React, Python)
  • Build and implement agentic AI solutions across the software development lifecycle (requirements, coding, testing, deployment, and code reviews)
  • Develop scalable architectures leveraging Retrieval-Augmented Generation (RAG) and integrate AI models into enterprise systems
  • Design and optimize prompts and orchestration frameworks (e.g., LangChain, LlamaIndex) to improve AI performance and outcomes
  • Deploy and manage AI-enabled applications on Azure, ensuring scalability, reliability, and compliance with enterprise standards
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Dallas, TX, Stamford, CT or Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements.
What you need to have to be considered
  • Strong experience in Generative AI, LLMs, and prompt engineering
  • Hands-on experience building applications using .NET, React, Python, or similar technologies
  • Experience designing AI/ML architectures, including RAG-based pipelines and API integrations
  • Experience with model training, fine-tuning, and optimization for performance, scalability, and cost
  • Knowledge of cloud platforms (Azure preferred) and deploying AI-enabled applications
These will help you stand out
  • Experience with orchestration frameworks such as LangChain or LlamaIndex
  • Exposure to GANs, diffusion models, or advanced generative modeling techniques
  • Understanding of LLMOps, monitoring AI performance, and ensuring ethical and compliant AI usage
  • Experience working with structured and unstructured data pipelines
  • Banking domain experience

Compensation
The annual salary for this position ranges from $120,000 to $140,000, depending on experience and qualifications. This role is also eligible for Cognizant's discretionary annual incentive program, subject to performance and applicable plan terms.
Benefits
Cognizant offers a comprehensive benefits package, including:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Holidays and Paid Time Off
  • 401(k) plan with company contributions
  • Short-term and Long-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.
We're excited to meet people who share our passion for technology and innovation and who can make an impact in a variety of ways. Don't hesitate to apply, even if you meet most-but not all-of the requirements. We value transferable skills, diverse experiences, and fresh perspectives.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.
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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