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Location: Remote EST
Our client is seeking a Solution Architect to support strategic Commercial Claims modernization initiatives. This role will help define target-state architecture, modernize legacy claims environments, enable cloud adoption, and incorporate AI-driven capabilities to improve and accelerate software delivery.
The ideal candidate brings a strong combination of modern cloud architecture experience and deep knowledge of healthcare payer and claims processing environments. Candidates from highly transactional financial services or credit card environments may also be considered.
Responsibilities:
- Lead solution architecture for large-scale healthcare claims modernization initiatives
- Define target-state architectures and modernization roadmaps across Commercial Claims platforms
- Design cloud-based solutions leveraging AWS and/or GCP
- Develop microservices, API-based, and event-driven architecture strategies
- Architect integrations between modern platforms and legacy/mainframe claims systems
- Reduce complexity across the claims technology ecosystem while supporting scalability and modernization
- Support AI and automation initiatives focused on developer productivity and AI-assisted software development
- Evaluate and incorporate tools such as Claude and Copilot into applicable development workflows
- Partner with business and technology teams to translate requirements into scalable architectural solutions
- Provide architectural leadership across multiple strategic claims initiatives
Required Skills:
- Healthcare payer industry experience, ideally with commercial claims processing
- Strong Solution Architecture experience supporting large-scale modernization initiatives
- Cloud architecture experience with AWS and/or GCP
- Experience designing microservices and API-based architectures
- Strong knowledge of event-driven architecture and messaging patterns
- Experience integrating modern platforms with legacy or mainframe systems
- Understanding of healthcare claims processing platforms and technology ecosystems
- Experience with AI/automation solutions, AI-assisted development, or developer productivity tools
- Exposure to tools such as Claude and/or Copilot
- Strong communication skills with the ability to work effectively across business and technical teams
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