Oracle Analytics
3 weeks ago
Title - Oracle Analytics & AI Solutions Architect Location - Remote Experience: 10–15 years total (3–4 in OAC, 1–2 in AI blending) Note: Candidates with strong Oracle Analytics & Cloud experience and 1–2 years in AI/LLM integration are encouraged to apply. Full 10–15 years in AI is not expected Key Responsibilities - Analytics & AI Enablement (Primary) – Build AI-powered dashboards in OAC with AI Assist and OCI AI Services; enable NLQ,anomaly detection, and narratives; design semantic models and predictive visuals. - Oracle 23ai Integration (Secondary) – Connect OAC to 23ai via Service/Data Gateway; use JSON Duality, in-DB ML, and vectorfeatures to enrich analytics; surface ML predictions in OAC. - Application & Integration – Automate workflows with OCI/Azure Functions; secure APIs with OAuth 2.0 and App Registration; manage secrets in OCI/Azure Vaults; publish REST APIs linking OAC and DBs. - Infrastructure & Security – Design private connectivity (VCN, DRG, FastConnect, Service Gateway, PAC); define NSG/firewall rules for HTTPS 443; enforce zero public egress; implement IaC and CI/CD (Terraform, OCI DevOps). - Cross-Cloud Integration – Align with Azure VNet, ExpressRoute, Private Link; ensure secure identity and data exchange between OCI and Azure. Required Technical Competencies - Analytics & AI: OAC, AI Assist, BI Publisher, OCI AI Services, Oracle 23ai ML features. - Integration & Automation: OCI/Azure Functions, REST APIs, OAuth 2.0, App Registration, Python. - Security & Vaults: OCI Vault, Azure Key Vault, Managed Identities, Secret Rotation. - Networking & Cloud: DRG, VCN, FastConnect, Service Gateway, PAC, NSG, Terraform, OCI DevOps. - Identity & Access: OCI IAM, Entra ID (SSO). Good to Have / Preferred - Oracle MCP / ODA integration for conversational BI. - Oracle 23ai vector search or embedding experience. - OAC AI Assist prompt tuning and customization. - Cross-cloud integration (OCI ↔ Azure). - Azure OpenAI / OCI AI Services for LLM features. Ideal Profile - 10–15 years total experience in Oracle Data & Analytics / Cloud Architecture. - 3–4 years hands-on in Oracle Analytics Cloud (OAC) and AI Assist.1–2 years exposure to AI - integration or blending (OCI AI, LLM APIs, or AI narratives). - Strong in Functions, OAuth, Vault automation, and IaC. Converts conceptual designs into secure, deployable solutions.
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