Solution Architect with InsureMo Platform

Description

This role is for a solution architect working on an insurance platform for Managing General Agents (MGAs), with a focus on scalable, AI-enabled solutions built on API-first design and middleware.

The company provides IT consulting, staffing and software services. It has been headquartered in Harrison, New Jersey since 1996 and serves clients across North America.

Its clients come from systems integration, banking and finance, telecommunications, pharmaceuticals and life sciences, energy, healthcare, technology, transportation, and local and federal government agencies.

Responsibilities

• Design end-to-end enterprise solutions using the platform's APIs, microservices and integration framework.
• Set out architectures that scale, stay secure and perform well, in line with business goals.
• Lead the build, customization and tuning of the platform.
• Create solutions for policy administration, claims, billing and distribution channels.
• Connect the platform smoothly with core insurance systems.
• Shape solutions around the daily needs of Managing General Agents, including delegated underwriting, regulatory obligations, reporting and distribution.
• Bring AI and ML into insurance workflows, such as underwriting automation, claims processing, fraud detection and customer engagement.
• Find ways to raise operational efficiency through intelligent automation.
• Guide development teams on architecture and technical direction.
• Set standards for integration, microservices, API design, security and performance tuning.
• Work with enterprise architects, engagement leads, product teams and business stakeholders to define and deliver technology strategy.
• Turn business requirements into scalable technical architectures.

Requirements

• Proven experience as a solution architect in insurance or financial services.
• Hands-on experience with the platform and its ecosystem.
• Solid grasp of MGA operations, delegated underwriting and insurance distribution models.
• Experience designing enterprise integrations with APIs, microservices and middleware.
• Experience integrating AI and ML into enterprise insurance platforms.
• Working knowledge of core insurance systems: policy administration, claims management, billing and distribution.
• Strong communication, stakeholder management and leadership skills.
• Ability to lead cross-functional technical teams and drive architecture decisions.
• Bachelor's degree in computer science, information technology, engineering or a related field.
• Preferred: TOGAF or an equivalent enterprise architecture certification.
• Preferred: experience with cloud-native architecture and digital transformation.
• Preferred: knowledge of API-first design, event-driven systems and enterprise integration patterns.
• Preferred: familiarity with current AI technologies and intelligent automation platforms.
• Preferred: experience in Agile settings and leading distributed development teams.

Conditions

North America: Mexico

Central America: Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua and Panama (Belize is sometimes included, though it is English-speaking)

The Caribbean: Spanish- and French-speaking islands such as Cuba, the Dominican Republic and Haiti

South America: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Paraguay, Peru, Uruguay and Venezuela

Applicant information is handled confidentially under equal employment opportunity guidelines.