AI & Data Architect, US

Role Overview
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.
Oracle Product & Platform Scope
The architecture is expected to span OCI and the broader Oracle portfolio. Representative platforms include:
Architecture Layer
Representative Oracle Platforms / Capabilities
AI & Agent Platform
OCI Generative AI (Responses API, hosted agentic applications, and Agents/RAG); OCI Data Science; OCI AI Services (Language, Speech, Vision, and Document Understanding).
Database, Data & Retrieval
Oracle AI Database 26ai / Autonomous AI Database; AI Vector Search; Select AI / NL2SQL; Oracle AI Data Platform; GoldenGate; Object Storage, Streaming, Data Integration, Data Flow, and OpenSearch.
Applications & Analytics
Fusion Cloud Applications; AI Agent Studio / Fusion Agentic Applications; Oracle Analytics Cloud / Fusion Data Intelligence; Oracle Integration; Oracle APEX.
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
Minimum Job Qualifications
Education and/or Experience:
18 years of experience in software development
OR
Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 14 years of experience in software development
OR
Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 14 years of experience in software development
OR
Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 12 years of experience in software development
OR
Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 12 years of experience in software development
OR
Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 10 years of experience in software development.
Coding Experience:
12 years of experience with programming and/or scripting languages (e.g., SQL, C/C++, JavaScript).
Database Experience:
8 years of experience with databases.
Preferred Job Qualifications
Education and/or Experience:
19 years of experience in software development
OR
Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 15 years of experience in software development
OR
Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 15 years of experience in software development
OR
Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 13 years of experience in software development
OR
Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 13 years of experience in software development
OR
Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 11 years of experience in software development.
Job Skills:
Same skills as prior level plus;
-Patent Innovation / Filing: Demonstrated ability to prepare, file, and manage patent applications for innovative products or technology.
People Leadership / Management Experience:
4 years of experience in a technical lead role with or without direct reports.
Budget Experience:
4 years of experience working with operating budgets and/or project financials.
Cloud Platforms Experience:
5 years of experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).
What You'll Do
• Define long-term architecture and technical strategy for Oracle-wide AI and data platform capabilities, with OCI as the core cloud foundation and clean integration into Oracle Database, Applications, Analytics, and Integration products.
• Design scalable platform architectures for generative AI, agentic AI, classical machine learning, structured and unstructured data, enterprise search, knowledge systems, and conversational data access.
• Architect systems for:
– Foundation-model access, model routing, inference, embeddings, reranking, fine-tuning, prompt/context management, and model lifecycle.
– Agent runtimes, multi-agent orchestration, planning