Principal Core Infrastructure Engineer, AI-Powered Digital Twin Platform

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Nashville, TNAustin, TX
Salary
$114,600–$234,600 / yr
Posted
66 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $175k
$100k most similar roles pay here $249k

This role pays more than 60% of similar roles. Most pay $144,350–$226,350 — the shaded band above. At the midpoint, this role pays about $175k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Principal Core Infrastructure Engineer, AI-Powered Digital Twin Platform

Principal Core Infrastructure Engineer - AI-Powered Digital Twin Platform is a senior individual contributor role focused on designing and building an AI-powered Digital Twin platform. You will develop scalable services for digital models, telemetry, state management, and real-time analytics while building AI agents that reason over enterprise knowledge and operational systems. The role involves creating capabilities for RAG, graph-based retrieval, agent orchestration, and tool use within a multi-tenant cloud environment. Key technical requirements include proficiency in Java, Python, Go, or C++, alongside expertise in distributed systems, large language models, and vector search. You will work with tools like LangChain, LangGraph, LlamaIndex, and Kubernetes to solve complex problems involving predictive maintenance, root-cause analysis, and automated remediation for industrial systems. The position requires designing fault-tolerant infrastructure that ensures AI-generated actions are grounded, explainable, and policy-compliant.

What you'll do

  • Design and build scalable distributed systems for digital models, telemetry, state management, and real-time analytics.
  • Develop AI agents that reason over digital twin data, enterprise knowledge, and operational systems.
  • Build capabilities for RAG, graph-based retrieval, agent orchestration, tool use, and memory.
  • Define technical designs and influence architecture across multiple components and engineering teams.
  • Ensure AI-generated recommendations are grounded, explainable, auditable, and compliant with corporate policies.
  • Develop secure, reliable, and observable distributed systems for enterprise cloud environments.
  • Resolve complex performance, reliability, data consistency, and production issues in active systems.
  • Create automation scripts and tools to manage cloud infrastructure and streamline deployment processes.

What we're looking for

  • Must have 8+ years of software engineering experience building large-scale production systems.
  • Proficiency in programming languages such as Java, Python, Go, or C++.
  • Deep understanding of distributed systems, data structures, algorithms, APIs, and cloud architecture.
  • Experience with generative AI, large language models (LLMs), RAG, and agentic orchestration.
  • Familiarity with graph databases, vector search, event streaming, and time-series data.
  • Experience designing and operating highly available, multi-tenant cloud services.
  • Ability to lead complex technical initiatives and influence architecture across multiple teams.
  • Proficiency in specific tools such as LangChain or LangGraph is preferred.

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