Director, Core Infrastructure Engineering - AI Powered Digital Twin Platform

Oracle Oracle · Enterprise · Nashville, TN +1

Director of Core Infrastructure Engineering for an AI-Powered Digital Twin Platform, focusing on building and operating distributed systems, data platforms, generative AI, and agentic workflows. The role involves defining engineering strategy, leading development of scalable services, building AI agents for reasoning and automation, establishing reusable AI capabilities (RAG, orchestration, tool use, evaluation), and ensuring AI actions are secure and governed. Requires significant experience in software engineering leadership, distributed cloud platforms, and delivering AI/ML products.

What you'd actually do

  1. Define and execute the engineering strategy and roadmap for Oracle’s Digital Twin platform.
  2. Lead the development of scalable services for digital models, telemetry, state management, relationships, simulation, and real-time analytics.
  3. Build AI agents that reason over twin data, enterprise knowledge, telemetry, and operational systems to investigate, recommend, and automate actions.
  4. Establish reusable capabilities for RAG, graph-based retrieval, agent orchestration, tool use, memory, evaluation, and human approval.
  5. Ensure AI-driven actions are secure, explainable, auditable, and governed by appropriate controls.

Skills

Required

  • 12+ years of software engineering experience
  • 5+ years leading engineering teams and managers
  • Building and operating large-scale distributed cloud platforms
  • Distributed systems
  • Data platforms
  • APIs
  • Databases
  • Networking
  • Cloud architecture
  • Generative AI
  • Machine learning
  • RAG
  • AI agents
  • Agentic orchestration

Nice to have

  • Digital twins
  • IoT
  • Industrial systems
  • Cloud operations
  • Simulation platforms
  • LangGraph
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • OCI Generative AI Agents
  • LLMOps
  • Agent evaluation
  • Model monitoring
  • AI governance
  • Responsible AI
  • Root-cause analysis
  • Predictive maintenance
  • Optimization
  • Incident response
  • Automated remediation
  • OCI
  • Oracle Database
  • Kubernetes
  • Graph databases
  • Streaming platforms
  • Vector databases

What the JD emphasized

  • 12+ years of software engineering experience, including 5+ years leading engineering teams and managers.
  • Experience delivering products involving generative AI, machine learning, RAG, AI agents, or agentic orchestration.
  • Experience applying AI agents to root-cause analysis, predictive maintenance, optimization, incident response, or automated remediation.

Other signals

  • Build AI agents that reason over twin data, enterprise knowledge, telemetry, and operational systems to investigate, recommend, and automate actions.
  • Establish reusable capabilities for RAG, graph-based retrieval, agent orchestration, tool use, memory, evaluation, and human approval.
  • Experience delivering products involving generative AI, machine learning, RAG, AI agents, or agentic orchestration.