Senior Cloud Solution Architect (OCI / Oracle Ecosystem)

PLEASE NOTE THAT THIS IS AN ONSITE ENGAGMENT IN QATAR

· Design an AI-enabled MVP that supports request review within an existing enterprise environment.

· Ingest internal and selected third-party data to generate structured recommendations for users and approvers.

· Enable decision support on four types of decisions and approval routing through a lightweight workflow layer.

· Define the end-to-end architecture across data ingestion, cloud platform, AI / analytics engine, workflow, and reporting components.

· Work with business, IT, infrastructure, security, and data teams to confirm requirements, constraints, and target-state design choices.

· Translate the MVP into a deployable solution blueprint covering integration method, hosting model, security controls, and scalability path.

Senior OCI technical architect with expertise in Oracle integration, secure data platforms, and AI-enabled enterprise application design

· Seniority: 8–12+ years in enterprise architecture, with strong hands-on OCI delivery experience

· Core cloud expertise: deep knowledge of OCI architecture, including IAM, networking, compartments, policies, compute, storage, API Gateway, Functions, OKE, and observability

· Oracle ecosystem experience: proven experience with integration into Oracle ERP environment, data extracts, APIs, and workflow triggers

· Data architecture capability: strong background in data ingestion, transformation, storage, and orchestration across tools such as OCI Data Flow, Object Storage, Autonomous Database, and search services

· AI architecture exposure: familiarity with LLM-enabled solution design, retrieval patterns, model orchestration, and embedding AI into enterprise workflows

· Security and compliance strength: able to design for encryption, access control, auditability, private connectivity, and regulated-data environments

· Application architecture experience: capable of shaping the experience layer across APIs, lightweight front ends, approval workflows, and dashboard/reporting integrations

· DevOps knowledge: practical understanding of GitHub, CI/CD, OCI DevOps, containerization, and production deployment patterns

· Stakeholder management: comfortable working across IT, infrastructure, infosec, and business teams to translate requirements into architecture decisions

· Define the target OCI-based architecture for the MVP

· Recommend what should sit in Oracle, OCI, and any adjacent cloud environments

· Design the ingestion approach for PR, PO, receiving, inventory, and third-party data

· Define the deployment model for the AI and application layers

· Ensure security, scalability, and maintainability are built into the design from the outset

· Support technical decision-making during MVP build and deployment

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designing enterprise AI/data applications on OCI, ideally in environments with Oracle ERP, multiple source systems, and high security requirements

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