Architect, Applications & Platforms - R01569772

• 1. Architect and define end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security
• 2. Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture
• 3. Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration
• 4. Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks for intelligent platform experiences
• 5. Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs, and contact center handoff
• 6. Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies
• 7. Establish CI/CD and DevSecOps practices, ensuring robust observability, monitoring, performance, and security across platforms
• 8. Mentor engineering teams on architectural best practices, technical planning, and delivery governance to drive continuous improvement and measurable outcomes

Primary Skills

• Azure Service Bus, Azure API Management, Azure Storage Queues, Azure Logic Apps, Azure AKS, Azure Content Delivery Network, Azure App Service, Azure Functions

Job requirements Experience Range:

• 7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms

Required Skills

• Architectural expertise in Azure cloud-native services
• Full stack development with Next.js (frontend) and Node.js (backend)
• Design and orchestration of microservices and API-first architectures
• Implementation of AI/GenAI solutions, including conversational AI and Retrieval Augmented Generation
• Experience with Kubernetes (AKS) and Infrastructure-as-Code
• Integration of healthcare APIs and enterprise systems

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
• Microsoft Certified: Azure Solutions Architect Expert
• Certification in AI or Machine Learning (such as Microsoft Certified: Azure AI Engineer Associate or equivalent)

• Hands-on experience with Terraform for Infrastructure-as-Code
• Knowledge of OpenShift and event-driven architectures
• Expertise in semantic search and vector retrieval for AI applications
• Experience in optimizing Large Language Model (LLM) integrations
• Familiarity with AI guardrails and responsible AI controls
• Healthcare domain knowledge in provider search, benefits navigation, and contact center integration Desired