Description

Key Responsibilities-

Define the environment and permission model for Google and Databricks

Recommend provisioning ownership (team-owned, shared, or hybrid) and document the decision

Implement Model Armor on GCP: floor settings, templates, IAM, validation, and go-live evidence

Assess Databricks LLM guardrail options and implement the selected approach

Align EA, Cloud Engineering, Security/IAM, and platform owners

Document handoff for AI Platform, Ops, Security, and app teams

Partner with Tech Lead on scope and dependencies

Required Skills-

Lead: GCP and Databricks solution architecture for AI/LLM platforms

Strong: Model Armor enablement; IAM and environment models; Databricks path selection and implementation

Key Skills

Education

Bachelor's degree