Role Overview
We are seeking a highly experienced Lead Architect to drive enterprise-grade cloud Generative AI Platform initiatives in the Healthcare Payer and PBM (Pharmacy Benefit Management) space. This role demands a unique combination of technical leadership domain knowledge and client-facing communication skills. You will be instrumental in architecting and driving implementation of scalable secure and cost-optimized GenAI-powered systems and modern test automation pipelines using cloud services(AWS & Azure)
Key Responsibilities
Lead solution architecture and implementation for healthcare payer clients with a focus on PBM systems claims management benefits configuration and eligibility workflows.
Design cloud-native generative AI solution platforms on AWS and Azure with an emphasis on performance scalability resilience and cost efficiency.
Serve as a strategic technical advisor in client engagements translating business requirements into technical solutions.
Architect and drive implementation of GenAI-enabled systems particularly RAG (Retrieval-Augmented Generation) patterns for knowledge-based services.
Collaborate with product engineering UX and QA teams to embed UX-driven test automation frameworks using Python and JavaScript.
Understand architectural governance standards and best practices for multi-region multi-cloud deployments.
Stay ahead of the curve on regulatory compliance in healthcare (HIPAA HITRUST) data privacy and security controls.
Required Skills and Competencies
Domain Expertise
Understanding of the Healthcare Payer ecosystem including claims adjudication EDI workflows member/provider systems and payer-provider data exchange models.
Proven experience in PBM systems including formulary management prior authorization and medication adherence workflows.
Cloud and Systems Architecture
5 years of experience in architecting solutions on AWS and/or Azure with proficiency in:
IAM EC2 Lambda S3 ECS RDS Redshift (AWS)
App Services Azure Functions Cosmos DB Azure DevOps (Azure)
Familiarity with cost modeling and optimization in cloud environments.
Strong foundation in microservices event-driven architecture and API management.
Software Engineering and Automation
Hands-on expertise in Python and JavaScript for platform development and scripting.
Experience with modern test automation frameworks that are UX-focused (e.g. Cypress Playwright).
Ability to drive the design of CI/CD pipelines and integration of quality assurance into release workflows.
Generative AI & Advanced Systems
Strong knowledge of GenAI platforms including RAG patterns vector databases prompt engineering and LLM lifecycle management.
Understanding of how AI can be applied in clinical decision support prior authorization automation and member engagement.
Soft Skills
Strong client-facing communication and stakeholder management capabilities.
Adept at cross-functional collaboration and leading matrix teams across technology product and business groups.
Thought leadership and mentoring of technical teams.
Preferred Qualifications
Bachelors or Masters degree in Computer Science Engineering or a related field.
AWS/Azure certifications (e.g. AWS Solutions Architect Professional Azure Solutions Architect Expert).
Experience working with FHIR HL7 EHR integrations or healthcare interoperability frameworks.
Prior involvement in enterprise AI/ML strategy or innovation programs in healthcare.