AI Platform Engineer
Onboard a workload with clear capacity, tenant boundaries, and cost visibility.
Prepare reviewable inputs for an AI-assisted workflow
Run the mortgage kit and inspect the income discrepancy. Define which source fields an assistant may use, which statements require evidence, and where a human must review its recommendation.
Start with the browser demo or download the local kit. For the workspace exercise, you need approved access to the relevant Genedata capabilities and a reviewer for your output.
Practice tasks
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Give AI teams a reliable foundation.
Onboard a workload with clear capacity, tenant boundaries, and cost visibility.
Review the workload requirements, tenant scope, deployment environment, and expected usage pattern.
Configure the approved runtime resources and access boundaries with the infrastructure and security owners.
Validate capacity and quota behavior before enabling broader use. Confirm how costs are attributed.
Monitor usage, investigate contention, and adjust the operating plan with the workload owners.
Expected handoff
An onboarded AI workload with ownership, guardrails, and operating evidence.
Explore your platform capabilitiesMeasure your progress
- Time to onboard an approved AI workload
- Usage that can be attributed to a responsible team
Use AI to summarize capacity and usage patterns; have platform owners approve infrastructure changes.