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AI Solutions Developer – Insurance Operations & Systems Integration

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Midway Auto Group
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
AI Solutions Developer – Insurance Operations & Systems Integration

Job Category: Information Tech

Requisition Number: AISOL
010997

  • Posted :
    October 13, 2026
  • Full-Time
  • On-site
Locations

Showing 1 location

Knight Management Insurance Services LLCnull
Los Angeles, CA 90010, USA

Description

AI Solutions Developer – Insurance Operations & Systems Integration

Pay Range: $100,000- $150,000 Per Year. The exact starting compensation to be offered will be determined at the time of selecting an applicant for hire and will be dependent on a wide range of factors, including but not limited to geographic location, skill set, experience, education, credentials, and licensure when applicable.

Knight Insurance is seeking a motivated, innovative AI Solutions Developer to design, build, test, and deploy AI-enabled business solutions. This role will help improve operational efficiency, reporting, underwriting workflows, and system integrations across the organization.

The ideal candidate combines strong software development skills with an understanding of insurance operations and systems. You’ll build practical tools—including internal applications, dashboards, reporting solutions, workflow automations, and API integrations—and work with internal teams and external technology partners to turn business needs into scalable solutions.

What You'll Do as an AI Solutions Developer:

  • Use AI-assisted development tools and frameworks to build internal web applications, dashboards, reporting tools, workflow automations, operational utilities, portals, and other business solutions.
  • Prototype and deploy proof-of-concept applications to address operational needs.
  • Use AI coding assistants and low-code/no-code platforms where appropriate to accelerate development.
  • Develop lightweight web interfaces for internal and external users.

Systems integration

  • Connect internal insurance systems, databases, and third-party platforms through APIs and middleware.
  • Build and maintain integrations for rating, billing, claims, CRM, reporting, data warehouse, and analytics systems.
  • Work with external IT companies and software vendors to share technical requirements, validate integrations, and support accurate data flow between systems.
  • Help ensure secure and accurate access to data across departments.

Insurance operations and quality assurance

  • Review insurance manuals, underwriting guidelines, and rating algorithms to understand business logic and workflow requirements.
  • Validate systems across underwriting, rating, billing, claims, reporting, security, and permissions.
  • Test and perform quality assurance on internally developed software and vendor solutions before production release.

    Ensure solutions meet operational and compliance requirements.
  • Work with operations, underwriting, claims, finance and accounting, executive leadership, and external technology partners.
  • Translate operational needs into technical specifications and scalable solutions.
  • Explain technical concepts clearly to non-technical stakeholders.

Qualifications

What do we look for in our AI Solutions Developer?

  • Experience with AI-assisted software development tools.
  • Strong understanding of web application development, API integrations, SQL and database connectivity, reporting and analytics tools, and workflow automation.
  • Experience integrating cloud platforms and SaaS applications.
  • Ability to collaborate with technical and non-technical colleagues and understand insurance workflows.

Required Education & Work Experience

  • Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical discipline. Master’s degree is a plus.
  • 4–5 years of professional experience in full-stack software engineering or backend development, with at least 2+ years actively…
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