Riyadh-based AI Agent Studio Engineer for Enterprise Systems

Envision Employment Solutions, LLC; Riyadh; On-site; SAR 300,000 - 420,000; Full time

Job summary

Envision Employment Solutions, LLC seeks an Oracle AI Agent Studio Engineer to design, build and deploy AI agents for a major industrial client. You’ll work with Oracle Fusion teams to convert business context into robust agent workflows and enterprise integrations.

You will craft agents using LLMs, prompt engineering, RAG, and multi-agent orchestration, connecting them to enterprise systems through REST APIs while applying governance and responsible AI practices in production in Riyadh.

Qualifications

• 5+ years in AI/ML or data science with GenAI experience.
• Hands-on experience with Oracle AI Agent Studio.
• Experience integrating agents via REST APIs and JSON.

Responsibilities

• Design, build and deploy AI agents using Oracle AI Agent Studio.
• Translate business context into agent designs and workflows.
• Develop agents with LLMs, prompt engineering, RAG, and multi-agent orchestration.
• Integrate agents with enterprise systems via REST APIs/JSON.
• Work within Oracle Fusion data model, security and extensibility.
• Apply OCI Generative AI services to enhance capabilities.
• Adopt AI governance and responsible AI practices.

Skills

AI/ML experience

GenAI & agentic AI

LLMs

Prompt engineering

Multi-agent orchestration

REST APIs

AI governance

Education

Bachelor's degree in a related field

Tools

Oracle AI Agent Studio

Oracle Fusion Cloud Apps

Python

OCI Generative AI Services

REST API integration

Job description

Envision Employment Solutions, LLC seeks an Oracle AI Agent Studio Engineer to design, build and deploy AI agents for a major industrial client. You’ll work with Oracle Fusion teams to convert business context into robust agent workflows and enterprise integrations.

You will craft agents using LLMs, prompt engineering, RAG, and multi-agent orchestration, connecting them to enterprise systems through REST APIs while applying governance and responsible AI practices in production in Riyadh.