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Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Oracle Analytics Cloud Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: AI Powered Tech Talent - AI Solution Architect / Application Lead to architect and deliver AI-native Oracle solutions—building and running bespoke AI apps/agents on OCI that are tailored to customer data and Oracle Analytics Cloud processes. Key responsibilities: Design and build custom Oracle AI solutions that augment Oracle Analytics Cloud scenarios using OCI AI services and Oracle data platforms. Implement RAG/agent patterns end-to-end: ingestion - chunking/embeddings - vector search - rerank - grounded generation with citations. Define evaluation and quality gates (grounding checks, regression tests, red-team prompts) and integrate into CI/CD before go-live. Engineer secure-by-design deployments: OCI IAM policies, network isolation, secrets management, and audit logging for production readiness. Operate AI in production: SLOs, monitoring (latency, errors, token/cost), incident playbooks, and continuous optimization. Professional & Technical skills: OCI Generative AI / Data Science foundations vector databases & embeddings Oracle data integration and governance (PII classification, access control, lineage) Strong engineering in Oracle Analytics Cloud domain to ground AI outputs in Oracle process/data context LLMOps: prompt/version control, eval harness, monitoring, FinOps cost controls Additional information: Experience aligned to level level ability to take PoC-production with governance and reliability., 15 years full time education
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