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
Valuable 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.
Qualified & Technical skills:
OCI Generative AI / Data Science foundations vector databases & embeddings
Oracle data integration and governance (PII classification, access control, lineage)
Solid 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.