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2 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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