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Tier-1 employer, metro location, mid-level 5–8 years but specialized skillset reduces broad competition.
Highly specialized agentic AI, healthcare compliance, and enterprise integrations limit cross-industry transferability.
Multiple mandatory domain skills, explicit 5–8 years and 3+ years agentic experience require strict filtering.
Design, develop, and deploy agentic AI systems spanning Azure AI, Oracle Agentic Studio, and open-source Python frameworks integrating with enterprise platforms like Oracle ERP/HCM, Pega, and ServiceNow.
Architect and implement multi-cloud, cloud-native solutions using Azure (primary) and AWS (secondary), including microservices, serverless functions, container orchestration, and Infrastructure as Code to support intelligent automation.
Lead migration from UiPath RPA workflows to next-gen autonomous agent architectures, mentor junior engineers, and collaborate with healthcare stakeholders to deliver operational AI solutions.
5-8 years of cloud engineering experience with advanced architectural skills on Azure and/or AWS.
3+ years hands-on experience delivering Agentic AI systems including production RAG pipelines, multi-agent systems, and LLM evaluation.
Strong Python expertise with frameworks like FastAPI and async programming; proficiency in containerization (Docker, Kubernetes), Terraform, and multi-cloud services (Azure Functions, AWS Lambda).
Bachelor or Master of Engineering degree required.
Proven platform-agnostic engineer comfortable integrating intelligent agentic systems across Azure, Oracle, Pega, and ServiceNow ecosystems.
Experienced architect and leader capable of independently designing end-to-end cloud-native agentic AI solutions and guiding cross-skilling of engineers.
Familiarity or strong willingness to master Oracle Agentic Studio and healthcare operational contexts; comfortable with RAG, vector databases, and prompt engineering best practices.