AI Specialist - OCI Gen AI Log Analytics

Role Overview

We are seeking an experienced AI Specialist to architect, deploy, and scale enterprise-grade AI agents and retrieval-augmented generation (RAG) systems on Oracle Cloud Infrastructure (OCI). In this role, you will lead the end-to-end implementation of an intelligent log analytics and security pipeline—building multi-agent workflows that automate log parsing, anomaly detection, threat intelligence, and root-cause correlation.

Key Responsibilities

• Agentic System Architecture: Design, test, and deploy production-ready multi-agent workflows using OCI Generative AI Agents to orchestrate operations across key domain areas (Log Parsing, Anomaly Detection, Threat IQ, Investigation, Correlation, and Executive Reporting).

• Vector Database & RAG Implementation: Architect and optimize high-throughput vector search capabilities using Oracle Database 23ai , implementing efficient indexing, chunking, and retrieval pipelines for AI-driven log querying.

• OCI Ecosystem Integration: Seamlessly integrate AI pipelines and agentic workloads with native OCI services, including Log Analytics , Streaming , and OCI Cloud Guard .

• Protocol & Tool Setup: Configure and maintain Model Context Protocol (MCP) servers and tool execution layers utilizing Oracle Database Tools and SQLcl for secure agentic database access.

• Performance Tuning: Optimize prompt engineering, agent orchestration, retrieval latency, and context window management to ensure robust real-time incident analysis.

Required Skills & Qualifications

Technical Expertise

• Generative AI & Agents: 3+ years of experience working with Large Language Models (LLMs), multi-agent frameworks, prompt engineering, and agentic tool invocation.

• Oracle AI Ecosystem: Proven hands-on experience with OCI Generative AI Agents and Oracle Database 23ai Vector Search .

• Integrations & Protocols: Proficient with Model Context Protocol (MCP) , RESTful API development, Python, and advanced SQL.

• Machine Learning & RAG: Strong theoretical and practical foundation in anomaly detection algorithms, embedding models, and Vector Store implementation for RAG architectures.

• Cloud & Security Native: Experience working with OCI security and observability frameworks (OCI Log Analytics, Cloud Guard, Streaming/Kafka).