AI Solutions Developer – Insurance Operations & Systems Integration

Knight Management Insurance Services LLC is seeking an AI Solutions Developer to help deliver AI-enabled business solutions for insurance operations. This onsite role in Los Angeles, CA focuses on building internal web applications, dashboards, workflow automation, and system integrations that support underwriting, rating, billing, claims, reporting, and secure data flow across departments. With a salary range of $100,000 to $150,000 per year, you will work with technology partners and teams across the organization to translate operational needs into scalable solutions.

What you’ll build

• Internal web applications, dashboards, reporting tools, operational utilities, portals, and other business solutions using AI-assisted development tools and frameworks.
• Proof-of-concept applications that address operational needs, including prototyping and deployment.
• Lightweight web interfaces for internal and external users.
• API and middleware integrations connecting internal insurance systems, databases, and third-party platforms.
• Integrations for rating, billing, claims, CRM, reporting, data warehouse, and analytics systems.

How you’ll collaborate

• Partner with external IT companies and software vendors to share technical requirements, validate integrations, and support accurate data movement between systems.
• Work closely with operations, underwriting, claims, finance and accounting, executive leadership, and external technology partners.
• Translate operational needs into technical specifications and scalable implementation plans.
• Explain technical concepts clearly to non-technical stakeholders.

Responsibilities

• Use AI coding assistants and low-code/no-code platforms when appropriate to accelerate development.
• Ensure secure and accurate access to data across departments.
• 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.

What you bring

• Experience with AI-assisted software development tools.
• Strong foundation in web application development, API integrations, SQL and database connectivity, reporting and analytics tools, and workflow automation.
• Experience with modern programming languages and frameworks, including Python, JavaScript, Node.js, React, and SQL.
• Experience integrating cloud platforms and SaaS applications.
• Ability to collaborate with both technical and non-technical colleagues while understanding insurance workflows.
• A Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical discipline.
• 4–5 years of professional experience in full-stack software engineering or backend development, including at least 2+ years actively building and deploying AI/ML or LLM-driven applications into production environments.
• Proven experience building automated workflows, custom internal tools, or enterprise software integrations.
• Highly preferred: Insurance, InsurTech, or FinTech experience, specifically working with policy life cycles, claims triage, or FNOL intake systems.

Technologies you’ll work with

• Python, JavaScript, Node.js, React, SQL
• AI/ML and LLM-driven applications
• APIs, middleware, cloud platforms, SaaS
• Low-code/no-code platforms

Benefits

• Medical, Dental, Vision, Supplemental Life Insurance, LTD, and Flexible Spending Account
• 401K and Employee Stock Ownership Program (employer matching)
• Career Path Opportunities
• Onsite Yoga, Pilates, and Onsite Gym
• UKG Wallet (access to your pay before payday)
• Tickets at Work discounts on entertainment, travel, and more
• AT&T Wireless discounts
• Midway Rent a Car discount (California)
• Dell Member Purchase Program

Pay range: $100,000–$150,000 per year. Exact starting compensation depends on geographic location, skill set, experience, education, credentials, and licensure when applicable.