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.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

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

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

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.

Qualifications

• 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.

Preferred Qualifications

• 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.

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.

Qualifications

• 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.

Preferred Qualifications

• 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.