Job Description
seeking two experienced *Solution Architects with strong Microsoft Azure and Artificial Intelligence expertise* to support strategic initiatives within the Medicaid architecture organization. The architects will design secure, scalable, and cloud-native solutions while partnering with business, engineering, data, security, and enterprise architecture teams.
The ideal candidate will combine strong solution architecture experience with hands-on knowledge of Azure cloud services, modern application and data architectures, AI/GenAI capabilities, and healthcare technology environments.
Key Responsibilities
* Lead end-to-end solution architecture for Medicaid business and technology initiatives.
* Design scalable, resilient, secure, and cost-effective solutions using Microsoft Azure.
* Define architecture for cloud-native applications, APIs, data platforms, integrations, AI, and GenAI capabilities.
* Translate business and functional requirements into solution architecture, technical designs, and implementation roadmaps.
* Develop architecture diagrams, integration patterns, data flows, security models, and deployment strategies.
* Evaluate and recommend Azure services, AI frameworks, technology products, and reusable architecture patterns.
* Provide architectural guidance to engineering teams throughout design, development, testing, and deployment.
* Ensure alignment with enterprise architecture standards, security policies, regulatory requirements, and cloud governance.
* Partner with business, product, engineering, data, infrastructure, and security stakeholders.
* Conduct architecture reviews, identify technical risks, and recommend mitigation strategies.
* Support modernization of legacy systems and integration with enterprise healthcare platforms.
* Provide technical leadership across multiple concurrent Medicaid initiatives.
Required Qualifications
* 10+ years of overall IT experience, including significant experience in solution or enterprise architecture.
* Strong hands-on architecture experience with Microsoft Azure.
* Experience designing cloud-native, distributed, and enterprise-scale solutions.
* Strong understanding of Azure services such as:
* Azure App Service, Functions and AKS
* Azure API Management
* Azure Data Factory, Databricks and Synapse
* Azure SQL, Cosmos DB and Data Lake
* Azure Service Bus and Event Hubs
* Microsoft Entra ID, Key Vault and Azure Monitor
* Experience designing and integrating AI, machine learning, GenAI, or intelligent automation solutions.
* Understanding of Azure AI services, Azure OpenAI, prompt engineering, RAG, vector search, and responsible AI concepts.
* Strong knowledge of APIs, microservices, event-driven architecture and system integration patterns.
* Experience with application, data, security, integration, and infrastructure architecture.
* Knowledge of DevSecOps, CI/CD, infrastructure as code, monitoring and cloud governance.
* Strong stakeholder-management, communication and architecture-presentation skills