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Tier-1 employer and metro Hyderabad increase competition, but specialized Agentic AI reduces applicant density.
Role requires Azure AI, healthcare compliance, and enterprise integrations, making cross-industry transfer limited.
Multiple explicit years, mandatory Azure/LLM skills, and healthcare compliance requirements make screening stringent.
Lead design and deployment of scalable Azure-native agentic AI solutions integrated with healthcare operations and multiple enterprise platforms (Oracle, Pega, ServiceNow).
Develop and maintain backend services and AI workflows using Python frameworks (FastAPI, Flask) and implement advanced cloud architectures including containers and serverless functions on Azure.
Mentor junior developers and guide migration from traditional RPA to autonomous agentic systems while ensuring security, compliance (HIPAA), and cross-platform integrations.
7-10 years overall experience with 4-5 years specifically on Microsoft Azure platform architecture and production deployments.
Minimum 4 years of production-level Python development experience with frameworks like FastAPI and Flask.
3+ years hands-on experience with Azure AI services and large language model (LLM)/Agentic AI integrations including multi-agent orchestration and RAG pipeline design.
Bachelor of Technology degree required; explicit Azure certifications mentioned as preferred but not mandatory (AZ-305, AZ-304, AI-102).
Experienced in architecting multi-tenant, scalable agentic AI solutions within cloud and healthcare ecosystem environments, including compliance with HIPAA and handling of healthcare data standards (FHIR, HL7).
Strong cross-platform integration skills spanning Oracle ERP/HCM, Pega decision systems, ServiceNow workflows, and migration experience from RPA tools like UiPath to agentic AI frameworks.
Demonstrated ability to lead technical teams, produce detailed architecture documentation, and operate at a senior level managing complex AI, cloud, and automation transformations.