This role focuses on architecting and delivering advanced AI-native Oracle solutions. You will build and manage bespoke AI applications and agents on OCI, specifically tailored to client data and Oracle Financials processes. The position requires a strong engineering background to ensure AI outputs are grounded in Oracle process and data context.

Key responsibilities include designing and building custom Oracle AI solutions that enhance Oracle Financials scenarios using OCI AI services and data platforms. You will implement RAG/agent patterns end-to-end, encompassing ingestion, chunking, embeddings, vector search, reranking, and grounded generation with citations. Defining evaluation criteria and quality gates, such as grounding checks and regression tests, is crucial. Furthermore, you will engineer secure deployments and manage AI operations in production, focusing on SLOs, monitoring, incident response, and continuous optimization.

A minimum of three years of relevant experience is necessary. Essential technical skills include a strong foundation in OCI Generative AI and Data Science, vector databases, and embeddings. Proficiency in Oracle data integration and governance, including PII classification and access control, is required. Deep engineering expertise within the Oracle Financials domain is vital. Experience with LLMOps, covering prompt/version control, evaluation harnesses, monitoring, and FinOps cost controls, is also a key requirement. The ability to take Proof of Concepts (PoCs) through to production with robust governance and reliability is expected.