Solution Architect, InsureMO Platform

New
D
Derex TechnologiesInsurance technology
Source API remote eligibility restrictions: United StatesFull-Time
Salary not disclosed
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Job Details

Required Skills
RESTful APIsMicroservices

Requirements

  • Experience as a Solution Architect within the insurance or financial services industry.
  • Strong hands-on experience with the InsureMO platform and its ecosystem.
  • Deep understanding of MGA operations, delegated underwriting, and insurance distribution models.
  • Experience designing enterprise integration solutions using APIs, microservices, and middleware technologies.
  • Experience integrating AI/ML solutions into enterprise insurance platforms.
  • Understanding of insurance core systems, including policy administration, claims management, billing, and distribution.
  • Ability to lead cross-functional technical teams and drive architectural decisions.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Preferred: TOGAF or equivalent Enterprise Architecture certification.
  • Preferred: Cloud-native architecture and digital transformation experience.
  • Preferred: Knowledge of API-first architecture, event-driven systems, and enterprise integration patterns.
  • Preferred: Familiarity with modern AI technologies and intelligent automation platforms.
  • Preferred: Agile experience and experience leading distributed development teams.

Responsibilities

  • Design end-to-end enterprise solutions using InsureMO APIs, microservices, and its integration framework.
  • Define scalable, secure, high-performing architectures aligned with business objectives.
  • Lead implementation, customization, and optimization of the InsureMO platform.
  • Design solutions for policy administration, claims management, billing, and distribution channels.
  • Integrate InsureMO with core insurance systems.
  • Design solutions for MGA operations, delegated underwriting, reporting, regulatory requirements, and distribution processes.
  • Integrate AI/ML capabilities into underwriting, claims processing, fraud detection, and customer engagement workflows.
  • Identify opportunities to improve operational efficiency through intelligent automation.
  • Provide architectural guidance to development teams and establish integration, microservices, API design, security, and performance practices.
  • Partner with enterprise architects, engagement leads, product teams, and business stakeholders to translate business requirements into technical architectures.
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