Director, Core Infrastructure Engineering - AI Powered Digital Twin Platform

This leader will own product engineering, architecture, execution, and operations while building a high-performing organization across distributed systems, data platforms, generative AI, and agentic workflows. Disclaimer:

US: Hiring Range in USD from: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - M4

- Define and execute the engineering strategy and roadmap for Oracle's Digital Twin platform. - Lead the development of scalable services for digital models, telemetry, state management, relationships, simulation, and real-time analytics. - 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. - Ensure AI-driven actions are secure, explainable, auditable, and governed by appropriate controls. - Own architecture, reliability, performance, security, cost, and operational readiness for the platform. - Partner with product management, applied science, design, OCI teams, and customers to translate business needs into scalable product capabilities. - Recruit, develop, and lead engineering managers, architects, AI engineers, and software engineers. - Drive strong engineering practices across design, development, testing, deployment, observability, and incident management. - Remain technically engaged in architecture reviews, critical design decisions, customer discussions, and production incidents.

- 12+ years of software engineering experience, including 5+ years leading engineering teams and managers. - Experience building and operating large-scale distributed cloud platforms. - Strong technical background in distributed systems, data platforms, APIs, databases, networking, and cloud architecture. - Experience delivering products involving generative AI, machine learning, RAG, AI agents, or agentic orchestration. - Familiarity with graph systems, vector search, event streaming, time-series data, simulation, or digital twin technologies. - Experience taking complex products from concept through production and enterprise adoption. - Strong product judgment, customer focus, and ability to lead through ambiguity. - Excellent communication and cross-functional leadership skills.

- Experience with digital twins, IoT, industrial systems, cloud operations, or simulation platforms. - Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, OCI Generative AI Agents, or similar technologies. - Knowledge of LLMOps, agent evaluation, model monitoring, AI governance, and responsible AI. - Experience applying AI agents to root-cause analysis, predictive maintenance, optimization, incident response, or automated remediation. - Experience with OCI, Oracle Database, Kubernetes, graph databases, streaming platforms, or vector databases.

Disclaimer:

US: Hiring Range in USD from: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - M4 Responsibilities

• Define and execute the engineering strategy and roadmap for Oracle’s Digital Twin platform.
• Lead the development of scalable services for digital models, telemetry, state management, relationships, simulation, and real-time analytics.
• 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.
• Ensure AI-driven actions are secure, explainable, auditable, and governed by appropriate controls.
• Own architecture, reliability, performance, security, cost, and operational readiness for the platform.
• Partner with product management, applied science, design, OCI teams, and customers to translate business needs into scalable product capabilities.
• Recruit, develop, and lead engineering managers, architects, AI engineers, and software engineers.
• Drive strong engineering practices across design, development, testing, deployment, observability, and incident management.
• Remain technically engaged in architecture reviews, critical design decisions, customer discussions, and production incidents.

• 12+ years of software engineering experience, including 5+ years leading engineering teams and managers.
• Experience building and operating large-scale distributed cloud platforms.
• Strong technical background in distributed systems, data platforms, APIs, databases, networking, and cloud architecture.
• Experience delivering products involving generative AI, machine learning, RAG, AI agents, or agentic orchestration.
• Familiarity with graph systems, vector search, event streaming, time-series data, simulation, or digital twin technologies.
• Experience taking complex products from concept through production and enterprise adoption.
• Strong product judgment, customer focus, and ability to lead through ambiguity.
• Excellent communication and cross-functional leadership skills.

• Experience with digital twins, IoT, industrial systems, cloud operations, or simulation platforms.
• Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, OCI Generative AI Agents, or similar technologies.
• Knowledge of LLMOps, agent evaluation, model monitoring, AI governance, and responsible AI.
• Experience applying AI agents to root-cause analysis, predictive maintenance, optimization, incident response, or automated remediation.
• Experience with OCI, Oracle Database, Kubernetes, graph databases, streaming platforms, or vector databases.