Design and develop AI agents using frameworks such as LangGraph and Model Context Protocol (MCP) for Oracle use cases
Build AI agent experience layers using tools like CopilotKit, Vercel AI SDK, or similar
Enable AI workloads on AWS, Azure, or Oracle Cloud Infrastructure (OCI)
Develop AI coding assets and MCP-based integrations to support AI SDLC · Design and implement integrations with Oracle systems (Oracle Fusion, EBS, OCI services) using REST/SOAP APIs
Work with Oracle data models to enable context-aware AI workflows
Integrate AI solutions with incident and ticketing systems (e.g., ServiceNow)
Collaborate with Oracle functional, technical, and infrastructure teams for delivery
Support diagnostics, automation, and optimization of Oracle managed services operations
Requirements
Strong experience in AI/LLM development and agentic frameworks (e.g., LangGraph, MCP)
Experience building AI agent front-end/experience layers
Hands-on experience with AWS, Azure, or OCI for AI deployment
Proficiency in Oracle technologies:
Oracle Fusion / EBS / OCI services
REST/SOAP APIs and Oracle Integration Cloud (OIC)
PL/SQL and Oracle data models · Understanding of Oracle managed services and operational workflows
Familiarity with incident management tools like ServiceNow
Strong problem-solving skills across AI, cloud, and Oracle domains.
Tech Stack
AWS
Azure
Cloud
Oracle
SDLC
ServiceNow
SOAP
SQL
Benefits
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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