Job description

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. 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. 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 Oracle is seeking a Director of Software Development to lead the engineering organization building an AI-powered Digital Twin platform. The platform will combine real-time operational data, digital models, simulation, graph technologies, and AI agents to help customers understand complex systems, predict outcomes, investigate issues, and automate actions safely.

Requirements

Must-haves

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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningkubernetes

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave