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Cloud Platform Engineer
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Cloud Platform Engineer
AccentureThis job is no longer accepting applications
Job Description
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:
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.
- 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
More Info
Key Skills
FinOps cost controls
embeddings
PII classification
eval harness monitoring
LLMOps
lineage
vector databases
prompt version control
OCI Generative AI
OCI AI services
Data Science foundations
Oracle Analytics Cloud
Oracle data integration and governance
