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Strong brand, metro location, mid-level generalist cloud+AI role with broad skill requirements.
Azure agentic AI plus healthcare and Oracle/Pega/ServiceNow integration creates high domain specificity.
Explicit years, mandatory Azure/AI/Python skills, certifications and healthcare compliance make shortlisting highly strict.
Lead design and deployment of scalable Azure-native Agentic AI solutions integrating Oracle Agentic Studio, Azure AI Foundry, and Python-based agent architectures for healthcare operations.
Architect, develop, and implement multi-agent, RAG pipelines, and autonomous workflow systems across Oracle, Azure, Pega, and ServiceNow platforms.
Mentor junior engineers and collaborate with healthcare stakeholders to ensure delivery, documentation, and cross-platform integration of AI-driven automation solutions.
5–8 years professional software development and cloud engineering experience; 4–5 years hands-on with Microsoft Azure platform.
3+ years hands-on experience with Azure AI Foundry, Azure OpenAI, and LLM/Agentic AI integrations; 4 years production-level Python development including FastAPI and async programming.
Experience integrating with Oracle Agentic Studio/OCI, Pega Platform, and ServiceNow platforms; Azure certifications such as AZ-305, AZ-304, AI-102 required.
Education: Bachelor or Master of Engineering degree; Healthcare domain experience preferred but deep clinical knowledge not mandatory.
Experienced Azure Cloud Engineer with deep skills in Python backend development, async APIs, and cloud-native architecture for scalable AI and automation systems.
Technically fluent in cross-platform integration across Oracle, Azure, Pega, and ServiceNow with ability to lead architectural decisions and mentor teams on Agentic AI migration.
Comfortable working in healthcare operations environment focusing on operational automation and AI-driven insight delivery, with awareness of compliance like HIPAA.