Solution Architect
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Lead Solutions Architect We are seeking a hands on Lead Solutions Architect to drive end to end architecture across our digital healthcare products, leveraging modern cloud ecosystems (AWS or GCP) and Generative AI. In this role, you will lead technical direction across public web portals, secure authenticated member portals, and mobile applications. Beyond traditional software architecture, you will be expected to drive AI adoption by actively integrating GenAI tools and capabilities across the full software development lifecycle (SDLC) from AI-assisted coding and automated test generation to AI-enhanced architecture design. You must bridge business strategy with deep technical execution, writing code, conducting reviews, and collaborating directly with product managers, business executives, software engineers, and QA.
End-to-End & Cloud Architecture: Design scalable, resilient, and secure cloud-native architectures on AWS or GCP across mobile, front-end web, API layers, microservices, and healthcare integration systems. GenAI-Driven SDLC Innovation: champion and integrate Generative AI capabilities throughout the development lifecycle (e.g., AI assisted coding, automated code reviews, dynamic documentation, AI generated unit/integration tests, and synthetic healthcare data generation). Hands-On Technical Leadership: Maintain high daily code level involvement across front end (React Native / Angular) and back-end (Java Spring Boot) stacks. Stakeholder Alignment & Tailored Communication: Translate complex cloud and AI concepts into strategic value for executive business partners, while diving into low-level technical specifics with developers and QA. Cross-Functional Collaboration: Partner closely with Product Management to define roadmaps, break down business requirements into technical blueprints, and align QA teams on cloud-native test architecture. Domain Security & Compliance: Ensure all cloud and digital solutions strictly comply with healthcare regulations (HIPAA, HITRUST) and secure identity management across public and behind-login environments. Estimations
- Experience providing T shirt estimates, low level estimates, representing the estimates and architecture in review boards, ability to justify the estimates to sponsors and executive leaders.
Domain
Experience:
Proven architectural experience within the Healthcare Payer domain (claims, member management, benefits, provider networks, or digital front door). Cloud Architecture: Hands-on experience architecting and deploying resilient, scalable enterprise applications on AWS or GCP (cloud-native microservices, serverless, managed databases, containerization via ECS/EKS/GKE). GenAI & SDLC Integration: Demonstrated experience utilizing Generative AI tools (e.g., GitHub Copilot, Amazon Q, Claude/Gemini APIs) to optimize software development, code refactoring, testing, and developer productivity. Back-End Expertise: Deep, hands-on architectural and development mastery in Java and Spring Boot microservices ecosystems. Front-End & Mobile Mastery: Strong, hands-on experience building production apps using React Native and/or Angular for web and mobile platforms. Digital Ecosystem Knowledge: Proven track record of architecting public facing marketing sites, authenticated secure portals, and native/cross platform mobile apps.
Preferred Qualifications
Experience with GenAI architectures (RAG, LLM fine-tuning, prompt engineering) applied to healthcare search or member self-service.
Familiarity with healthcare interoperability standards (FHIR, HL7, EDI 837/834).
Deep understanding of OAuth2, OIDC, SAML, and secure session management for cloud-hosted healthcare applications.
Hands-on experience with modern CI/CD pipelines integrating automated AI quality gates.