Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong Tier-1 brand, mid-level experience band, and metro location increase applicant competition despite niche specialization.
Role requires specialized agentic AI, cloud, and enterprise-integration experience, making cross-industry transfers difficult.
Many mandatory technical requirements, certifications, and explicit years make shortlisting highly restrictive.
Design and architect cloud-native, multi-cloud agentic AI systems integrating Azure, Oracle, Pega, ServiceNow, and transitioning from UiPath RPA.
Develop and deploy intelligent multi-agent AI workflows with RAG pipelines, vector databases, and LLM evaluation for enterprise healthcare operations.
Lead cross-platform integrations and mentor engineers while managing CI/CD pipelines, security compliance, and production Python backend services.
5–8 years of cloud engineering with advanced Azure and/or AWS architecture skills.
3+ years hands-on experience in Agentic AI delivery including RAG pipelines, multi-agent systems, and LLM evaluation.
Bachelor or Master of Engineering degree.
Strong Python expertise with FastAPI, async patterns, and production code quality practices.
Experienced in genuine platform-agnostic agentic AI engineering across Oracle, Azure, Pega, and ServiceNow ecosystems.
Demonstrates ability to independently architect solutions, lead cross-skilling of engineers, and drive end-to-end delivery in healthcare domain.
Fluent with RAG, vector databases, prompt engineering, and ready to learn Oracle Agentic Studio for enterprise healthcare AI applications.