AI Specialist - OCI Gen AI Log Analytics
JOB DESCRIPTION
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).