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Generative Ai Insurance Jobs in Wisconsin (NOW HIRING)

You will lead the enterprise vision for Generative AI, Microsoft Copilot, and large language model ... Mead & Hunt proudly offers medical, dental, and vision insurance, paid time off, paid sick leave ...

This role will design, develop, and operationalize Generative AI (GenAI) and Large Language Model ... Health Insurance including Medical, Dental and Vision * 401k * Paid Time off * Parental and ...

... of generative artificial intelligence (AI). Location: Candidates must reside in the state of ... health insurance environment * Proficiency using UI Path and/or working in data warehousing ...

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Keep current with technological advancements in robotic process automation and generative AI and ... health insurance environment * Proficiency using UI Path and/or working in data warehousing ...

Keep current with technological advancements in robotic process automation and generative AI and ... health insurance environment * Proficiency using UI Path and/or working in data warehousing ...

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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 Wisconsin? For Generative Ai Insurance jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Generative Ai Insurance jobs? Cities in Wisconsin with the most Generative Ai Insurance job openings:

Senior Software Engineer - Generative AI

Acuity Insurance

Sheboygan, WI โ€ข On-site

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
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Acuity will include at least one in-person interview during the hiring process for all positions.
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ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:

Bachelorโ€™s degree or equivalent combination of education and experience in software engineering, computer science, or related field.

EXPERIENCE:

A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.

    OTHER QUALIFICATIONS:ย 

    • Expertise across a wide range of tools and technologies, including.
      • Programming languages such as Java, Python, and JavaScript.
      • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
      • Familiarity with web UI frameworks such as Vue, React, or Angular.
      • Knowledge of software development workflows, CI/CD pipelines and version control tools.
      • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
      • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
      • Familiarity with AI Observability tools to monitor and debug AI responses.
      • Understanding API Management, including rate limiting, latency, and token cost optimization.
      • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
    • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
    • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
    • Strong communication skills and ability to work with cross functional teams.
    • Excellence in documentation, testing practices, and operational reliability.
    • Ability to stay current with AI advancements, LLM research, and evolving best practices.
    • Passion for building reliable, safe, and impactful Generative AI systems.

        *Acuity does not sponsor applicants for U.S. work authorization.*

        This job is classified as exempt.

        The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicantโ€™s education, experience, knowledge, skills, and abilities.

        For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.ย 

        We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.ย 

        Acuity will include at least one in-person interview during the hiring process for all positions.ย 

        If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.