AI & Data Architect, US

Oracle•United States,

12h•Remote

About The Position

As an AI & Data Architect, you will define the technical architecture for large-scale AI and data platforms that power both OCI services and AI-enabled experiences across Oracle products. You will establish reference architectures, canonical APIs, integration patterns, and platform primitives that product teams can build on rather than recreate independently. You will work across distributed cloud infrastructure, AI systems, databases, data engineering, search, enterprise applications, networking, security, and developer platforms. The role requires strong systems thinking, deep software and data architecture experience, practical knowledge of modern AI systems, and the ability to influence technical direction across multiple engineering organizations without relying on organizational authority. The architecture is expected to span OCI and the broader Oracle portfolio. Representative platforms include AI & Agent Platform (OCI Generative AI, OCI Data Science, OCI AI Services), Database, Data & Retrieval (Oracle AI Database 26ai, AI Vector Search, Select AI, Oracle AI Data Platform, GoldenGate, Object Storage, Streaming, Data Integration, Data Flow, and OpenSearch), Applications & Analytics (Fusion Cloud Applications, AI Agent Studio, Oracle Analytics Cloud, Oracle Integration, Oracle APEX), and Cross-Oracle Consumers (Reusable capabilities for Oracle SaaS and industry products, NetSuite, Oracle Health, partner solutions, and customer applications). This list is representative, not exhaustive; the role is expected to create reusable architecture across product boundaries, not own every product implementation. 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.

Requirements

Strong systems thinking.
Deep software and data architecture experience.
Practical knowledge of modern AI systems.
Ability to influence technical direction across multiple engineering organizations without relying on organizational authority.

Responsibilities

Define the technical architecture for large-scale AI and data platforms.
Establish reference architectures, canonical APIs, integration patterns, and platform primitives.
Work across distributed cloud infrastructure, AI systems, databases, data engineering, search, enterprise applications, networking, security, and developer platforms.
Influence technical direction across multiple engineering organizations.