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Distinguished Architect, Software Development – Claims Processing Platform

CVS Health
Closed
Full-time
Work At Home, Austin, Texas
USD 175,100 - 334,750
8 views
Posted September 18, 2026

Job Description

CVS Health is seeking a Distinguished Architect, Software Development to serve as the senior technical leader for the modernization of enterprise claims processing platforms and the architecture of a next-generation claims processor enablement ecosystem.

This ecosystem will unify intelligent workflow tools, operational platforms, a modernized claims adjudication user interface, and supporting services into a cohesive solution that transforms how claims processors interact with adjudication systems across all lines of business.

As the technical visionary for this initiative, you will define the architectural roadmap, evaluate and recommend the target technology stack—balancing engineering needs with enterprise direction—and guide a large engineering organization through a multi-year transformation from legacy mainframe systems to modern, cloud-enabled, API-driven architectures while maintaining operational stability for mission-critical processing.

Key Responsibilities: Define and own the end-to-end technical architecture for the claims processor / claims automation platform ecosystem, including workflow tools, user interfaces, and supporting services. Lead the technical execution of a multi-year mainframe modernization strategy. Define application modernization approaches (retain, refactor, re-platform, reimagine, replace) across a complex portfolio. Architect the transition from legacy systems to hybrid and cloud-native solutions. Design integration layers that enable seamless interoperability across systems owned by different teams.

Requirements & Skills

Preferred Qualifications: Experience working with or modernizing large-scale legacy platforms, including mainframe environments (COBOL, CICS, DB2, or equivalent) Experience in healthcare payer systems, claims processing, or financial transaction platforms Experience integrating AI/ML or automation into operational workflows Familiarity with regulatory and compliance environments (HIPAA, SOX, CMS, etc.) Experience with mainframe modernization tooling and strategies

Education: Bachelor’s degree in computer science, Engineering, or a related field or equivalent experience (19+ years of relevant experience in lieu of degree).

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