Senior Healthcare Solution Architect — AI, Cloud & Legacy

CVS Health; Pennsylvania; Hybrid; USD 118,000 - 261,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a Solution Architect to support enterprise initiatives focused on healthcare payer systems. The role emphasizes legacy systems, modern cloud technologies, and emerging AI capabilities to design scalable, secure solutions.

You will collaborate with stakeholders, guide end-to-end architectures, ensure regulatory compliance, and evaluate AI and cloud tools. A strong background in mainframe integration and cloud platforms is essential.

Qualifications

• 7+ years in IT architecture or solution design roles.
• Healthcare payer industry experience with claims processing and provider systems.
• Strong mainframe experience with integration to modern platforms.
• Proven cloud platform expertise (Azure/AWS/GCP).

Responsibilities

• Collaborate with stakeholders to define architecture aligned with goals.
• Design end-to-end solutions integrating legacy systems with modern platforms.
• Provide architectural oversight throughout the project lifecycle.
• Evaluate AI and cloud tools to enhance capabilities.
• Ensure compliance with healthcare regulations and data privacy.

Skills

IT architecture experience (7+ years)

Healthcare payer domain

Cloud platforms (Azure/AWS/GCP)

AI/ML in enterprise

Mainframe integration

Education

Bachelor's degree in Computer Science/Information Systems

AWS/Azure/GCP certifications

Tools

Appian Vendor platform

Ab Initio ETL

Low Code/No Code platforms

FHIR/HL7 data standards

Job description

CVS Health is seeking a Solution Architect to support enterprise initiatives focused on healthcare payer systems. The role emphasizes legacy systems, modern cloud technologies, and emerging AI capabilities to design scalable, secure solutions.

You will collaborate with stakeholders, guide end-to-end architectures, ensure regulatory compliance, and evaluate AI and cloud tools. A strong background in mainframe integration and cloud platforms is essential.