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Generative Ai Insurance Jobs (NOW HIRING)

Guidewire Software

Senior ML Engineer, Generative AI

Summary Guidewire's Generative AI (GenAI) team sits within Product Strategy and plays a critical ... Background in insurance, banking, or financial services, or interest in becoming deeply fluent in P ...

Avant LLC

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Choice of great Medical, Dental, and Vision Insurance Plan options * 401(k) match * Flexible Time ...

Outdoorsy

Chief AI Growth Officer

San Francisco, CA · On-site

... an AI insurance platform marketed under the brand "Roamly", and a vertically integrated SaaS ... Generative AI * Machine learning systems * AI agents and automation * Growth marketing * Data ...

Avant

Generative AI Product Manager

Chicago, IL

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Choice of great Medical, Dental, and Vision Insurance Plan options * 401(k) match * Flexible Time ...

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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.
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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.

Quantitative Software Engineer: Generative AI

Two Sigma Investments, LP

New York, NY • On-site

$165K - $300K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 28 days ago

Job description

Quantitative Software Engineer: Generative AI
Location
NY New York
United States
Business
Investment Management
Function
Engineering
Experience Level
Experienced
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
The News Engineering team is looking for a machine learning engineer with a strong background in NLP and LLMs. Our team's vision is to collect, organize, and monetize the world's unstructured data, including news, social media, and regulatory filings. To that end, we develop:
  • A platform for interactive research, backed by a one-petabyte corpus of unstructured data
  • A system for automatic signal mining, evaluating research hypotheses end-to-end
  • NLP and LLM services, using a variety of techniques across our research tools and production pipelines
  • Data pipelines, delivering millions of events to production systems every day

We work closely with our partners in Modeling, making this position a strong choice for anybody looking to leverage proven NLP and software engineering skills in an area close to the firm's core business.
You will take on the following responsibilities:
  • Lead applied research initiatives using ground breaking generative AI technologies
  • Implement and maintain scalable machine learning and NLP systems in data-intensive production environments
  • Collaborate with modeling partners to prototype and iterate in emerging NLP research areas

You should possess the following qualifications:
  • Minimum 1 year of experience required; 3-10 years of experience preferred developing and deploying machine learning solutions, preferably in the areas of NLP and LLMs
  • BS in Computer Science, Machine Learning, or related technical field (advanced degrees and/or ML publications highly desired)
  • Demonstrated success translating research publications into practical solutions
  • Proficiency with popular natural language processing and deep learning frameworks in Python (PyTorch, Tensorflow, etc.)
  • Proven track record of thriving in multi-functional, fast-paced environments
  • Ongoing engagement with emerging trends, research, and applications in generative AI

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

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