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Generative Ai Insurance Jobs (NOW HIRING)

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi ... D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition ...

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 ...

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 ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... long-term disability and life-insurance coverage for full-time employees Medical by ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... life-insurance coverage for full-time employees ○ Medical by UnitedHealthCare ○ Dental by ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... life-insurance coverage for full-time employees • Medical by UnitedHealthCare • Dental by ...

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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.
More about Generative Ai Insurance jobs
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 June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Generative AI Engineer (Knowledge Graph)

Generative AI Engineer (Knowledge Graph)

HTC Global Services

Dearborn, MI • On-site

$89K - $123K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Job Title
Knowledge Graph & Generative AI Engineer

Overview / Summary

We are seeking a Knowledge Graph & Generative AI Engineer to work at the intersection of semantic data engineering, graph systems, and generative AI. This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.

Key Responsibilities

Design, build, and optimize scalable graph databases using technologies such as Neo4j and TigerGraph.
Map ontologies and semantic web standards, including RDF and OWL.
Develop embedding ingestion pipelines and integrate Knowledge Graphs with Large Language Models (LLMs).
Enhance contextual retrieval, search capabilities, and generative AI responses through AI/LLM integration.
Build and manage data processing approaches that parse and transform structured and unstructured data into graph-oriented formats.
Architect entity resolution and relationship extraction workflows.
Develop machine learning workflows to identify patterns and dependencies within complex datasets.

Required Qualifications

Experience designing, building, and optimizing graph databases.
Knowledge of graph technologies such as Neo4j or TigerGraph.
Understanding of semantic web standards, including RDF and OWL.
Experience developing embedding ingestion pipelines.
Experience integrating Knowledge Graphs with Large Language Models (LLMs).
Ability to process and transform structured and unstructured data into graph-oriented formats.
Experience with entity resolution and relationship extraction.
Experience developing machine learning workflows for complex data analysis.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

#LI-Hybrid #LI-AA1

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