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Generative Ai Insurance Jobs (NOW HIRING)

Cloud Engineer/ Architect- Generative AI Integration

Washington, DC ยท Hybrid

$73.50 - $93.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Generative AI Integration with a Secret Security clearance to support KDS and our government ... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ...

Cloud Engineer/ Architect- Generative AI Integration

Washington, DC ยท Hybrid

$73.50 - $93.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Generative AI Integration with a Secret Security clearance to support KDS and our government ... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ...

Research Scientist, Generative AI - Seattle

Seattle, WA ยท On-site

$202K - $368K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Generative AI. We continuously transfer innovative technologies to TikTok products, and inspire ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

Generative AI Product Manager

Chicago, IL ยท On-site

$165K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Generative AI Product Manager

Chicago, IL

$165K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Showing results 41-60

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:

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.

Associate Director - AI / Generative AI Engineering

DTCC

Jersey City, NJ โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago


Job description


Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.
Pay and Benefits:
  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:
Being a member of IT Strategy & Business Management team, this role role specializes in planning, documenting technical requirements, designing, developing, and testing all software systems and applications for the firm. Works closely with architects, product managers, project management, and end-users in the development and enhancement of existing software systems and applications, proposing and recommending solutions that solve complex business problems. The Associate Director of AI / Generative AI Engineering to lead the design, adoption, and operational excellence of enterprise-grade GenAI solutions. This role owns LLM-based architectures, including Retrieval-Augmented Generation (RAG) and AI-driven data access patterns, and is accountable for embedding Generative AI capabilities into mission-critical business workflows in a secure, scalable, and compliant manner.
You will serve as a technical and execution leader, partnering with product, data, cloud, and risk teams to drive responsible AI adoption across the enterprise.
Your Primary Responsibilities:
AI Architecture & Platform Leadership
  • Own the end-to-end architecture of GenAI solutions, including LLM integration, RAG pipelines, vector search, and AI-assisted data access
  • Lead the design and implementation of production-grade AI systems, ensuring scalability, performance, and resiliency
  • Define and govern Text-to-SQL and AI-driven analytics patterns for dynamic, secure access to enterprise data
  • Establish architectural standards and reference patterns for AI usage across applications and workflows

Delivery Accountability & Operational Excellence
  • Accountable for production readiness, model lifecycle management, and operational stability of GenAI platforms
  • Partner with Cloud and DevOps teams to ensure AI solutions are securely deployed, monitored, and observable
  • Ensure AI solutions meet enterprise security, data protection, governance, and compliance requirements
  • Act as an escalation point for complex AI architecture, performance, or risk issues

Cross-Functional & Enterprise Collaboration
  • Partner with Product, Backend, Data, and Platform teams to embed AI capabilities into end-to-end workflows
  • Collaborate with Risk, Compliance, and Security teams to implement responsible AI controls and governance
  • Communicate technical trade-offs, risks, and AI adoption strategy to senior technology and business stakeholders

People Leadership & Technical Stewardship
  • Lead, mentor, and develop AI and data-focused engineers
  • Set expectations for engineering rigor, documentation quality, and architectural discipline
  • Drive knowledge sharing and adoption of best practices across teams and platforms
  • Contribute to hiring, capability assessment, and succession planning for AI engineering roles

**NOTE: The Primary Responsibilities of this role are not limited to the details above. **
Qualifications:
  • Minimum of 8 years of related experience
  • Bachelor's degree preferred and/or equivalent experience

Talents Needed for Success:
  • 10+ years of experience in AI, ML, or advanced data-driven engineering roles, including technical leadership responsibilities
  • Deep expertise in Generative AI, LLM integration, and RAG architectures for enterprise systems
  • Strong experience designing AI-driven data access patterns, including Text-to-SQL
  • Advanced SQL skills and experience with enterprise data platforms (e.g., Snowflake or equivalent)
  • Proven ability to own architecture decisions, influence platform direction, and lead cross-team delivery
  • Experience operating in enterprise-scale or regulated environments

Nice to Have
  • Experience deploying and operating AI solutions in cloud environments (AWS, Azure, or equivalent)
  • Familiarity with AI evaluation, monitoring, observability, and model performance management
  • Experience contributing to responsible AI frameworks, governance models, or compliance initiatives
  • Background modernizing or scaling AI platforms within large enterprises

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About Us
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC's subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC's Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.
DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you'll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It's the chance to make a difference at a company that's truly one of a kind.
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