Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, mid-level role, and metro location create high applicant density despite niche specialization.
Specialized agentic AI, multi-cloud, and enterprise integration skills limit easy transfer across industries.
Explicit 5–8 years plus mandatory agentic AI, cloud, and toolchain requirements create strict filtering.
Design, develop, and deploy intelligent multi-cloud agentic AI systems leveraging Azure, AWS, Oracle Agentic Studio, integrating with enterprise platforms like Oracle ERP/HCM, Pega, and ServiceNow.
Architect and implement scalable cloud-native microservices and serverless architectures, including event-driven async workflows and multi-agent coordination systems using Python frameworks (FastAPI, asyncio).
Lead migration from UiPath RPA to autonomous agent architectures, build RAG pipelines, manage vector databases, ensure quality via CI/CD agent evaluation, and mentor junior engineers.
5–8 years of proven cloud engineering experience with advanced architectural skills in Azure and/or AWS.
3+ years of hands-on experience in Agentic AI delivery including production RAG pipelines, multi-agent systems, and LLM evaluation.
Strong Python expertise with FastAPI, asyncio, production testing (pytest) and REST API design.
Bachelor or Master of Engineering degree; willingness to learn Oracle Agentic Studio is mandatory.
Experienced cloud engineer with multi-cloud platform agnosticism who can integrate cross-platform agentic systems including Oracle, Azure, Pega, and ServiceNow.
Proven capability to architect complex scalable agentic AI solutions independently and mentor teams, with demonstrated leadership in end-to-end delivery.
Familiarity or interest in healthcare operations and compliance (HIPAA) contexts for automation solutions is a plus.