A
Technology Platform Engineer
A
Technology Platform Engineer
Accenture3-5 Years
- Posted 6 hours ago
- Be among the first 10 applicants
Job Description
Project Role : Technology Platform Engineer
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : Oracle Order Management
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 Order Management processes.
Key responsibilities:
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : Oracle Order Management
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 Order Management processes.
Key responsibilities:
- Design and build **custom Oracle AI solutions** that augment Oracle Order Management 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 Order Management domain to ground AI outputs in Oracle process/data context
- LLMOps: prompt/version control, eval harness, monitoring, FinOps cost controls
More Info
Key Skills
PII classification
embeddings
LLMOps
FinOps
lineage
vector databases
prompt version control
eval harness
OCI Generative AI
cost controls
OCI AI services
Data Science foundations
Oracle data integration and governance
