Hybrid Insurance Solutions Architect: AI & Modernization

Iris Software Inc.

Edison (NJ)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Flexible work model
Health insurance
Professional development opportunities

Job summary

A consulting services firm is seeking a Solution Architect specializing in insurance to design scalable technology solutions. The ideal candidate will have over 7 years of experience in solution architecture, particularly within financial services. Responsibilities include defining end-to-end architectures, guiding engineering teams, and modernizing legacy systems. This hybrid role allows for flexible work arrangements with 2-3 days onsite. A background in AI and significant domain knowledge is essential for success in this role.

Qualifications

  • 7+ years of solution architecture and delivery experience in financial services, preferably in insurance.
  • Experience with leading insurance systems and platforms like Guidewire.
  • Strong expertise in cloud ecosystems and DevOps practices.

Responsibilities

  • Define solution architectures aligned with client business goals.
  • Design API-driven solutions focusing on scalability and efficiency.
  • Guide engineering teams throughout design and deployment phases.

Skills

AI use cases for insurance
Solution architecture
Client advisory
Cloud-native architecture
API-driven solutions
Integration-heavy solutions

Education

Bachelor’s or Master’s degree in Computer Science or related field
Certification in AI / Gen AI

Tools

AWS
Azure
GCP

Job description

A consulting services firm is seeking a Solution Architect specializing in insurance to design scalable technology solutions. The ideal candidate will have over 7 years of experience in solution architecture, particularly within financial services. Responsibilities include defining end-to-end architectures, guiding engineering teams, and modernizing legacy systems. This hybrid role allows for flexible work arrangements with 2-3 days onsite. A background in AI and significant domain knowledge is essential for success in this role.
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