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Strong brand and metro location increase competition, but niche Azure agentic AI skills moderate applicant density.
Deep Azure cloud, agentic AI, and healthcare integration requirements limit cross-industry transferability.
Explicit 5–8 years plus mandatory Azure, Python, agentic AI, and healthcare integration requirements raise screening strictness.
Lead design, development, and deployment of intelligent agentic AI systems on Microsoft Azure for healthcare operations at Providence Global Center (PGC).
Architect and implement scalable Azure cloud-native microservices, event-driven architectures, and backend Python APIs integrating AI and multi-agent orchestration.
Integrate agentic AI solutions across Oracle ERP/HCM, Pega, ServiceNow, and support RPA-to-agentic migration, ensuring HIPAA-aligned security and healthcare data standards compliance.
5–8 years of professional software development and cloud engineering experience including 4–5 years hands-on with Microsoft Azure architecture and deployments.
Minimum 4 years production-level Python development experience, including FastAPI and asynchronous programming.
At least 3 years hands-on experience with Azure AI services, Azure AI Foundry, OpenAI integration, and multi-agent AI systems.
Mandatory experience with Oracle Agentic Studio, Pega Platform integration, and ServiceNow Now Platform APIs as well as knowledge of healthcare data standards (FHIR, HL7, EDI 835/837).
Experienced Azure Cloud Solutions Architect with deep expertise in agentic AI and RAG pipeline development for complex healthcare environments.
Technically proficient leader able to independently drive architectural decisions, mentor junior engineers, and manage cross-platform AI integrations (Oracle, Azure, Pega, ServiceNow).
Familiarity with healthcare compliance (HIPAA), operational impact in healthcare domains, and transition from UiPath RPA to autonomous agentic AI solutions.