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Tier-1 brand, mid-level experience band, and metro location increase applicant competition.
Requires Azure Agentic AI, healthcare integrations, and compliance, limiting cross-industry transferability.
Explicit 5–8 years, mandatory Azure/AI/Python skills and healthcare compliance make filters highly rigid.
Lead design and deployment of Azure-native intelligent agentic AI systems for healthcare operations, integrating Azure AI services with Oracle, Pega, and ServiceNow platforms.
Architect and implement scalable, multi-tenant cloud solutions using Azure microservices, serverless tech, and container orchestration (AKS).
Develop backend services in Python and manage CI/CD pipelines, while mentoring engineers and collaborating with healthcare stakeholders to drive automation and operational efficiency.
5–8 years professional experience in software development and cloud engineering, with 4–5 years hands-on Microsoft Azure platform.
3+ years hands-on experience with Azure AI Foundry, Azure OpenAI, and production-level agentic AI integration.
Strong Python development skills (FastAPI, async programming) with 4 years production level experience.
Familiarity with Oracle Agentic Studio, Pega Platform, and ServiceNow integrations; Azure certifications (AZ-305, AZ-304, AI-102) required.
Experienced in architecting and delivering complex multi-agent AI solutions leveraging Azure AI and cloud platform services in enterprise healthcare settings.
Skilled in cross-platform integration across Oracle, Azure, Pega, and ServiceNow with a focus on RPA-to-agent migration and process automation.
Capable of technical leadership including mentoring engineers, making architecture decisions, and engaging with healthcare domain stakeholders to ensure impactful AI solution delivery.