Handson experience with AI/ML workloads on Google Cloud (for example, Gemini / Vertex AI, custom models, vector search, or document/vision/language APIs).
Solid understanding of GCP networking, IAM, security, VPC design, and enterprise integration patterns.
Experience with infrastructure as code (Terraform, Deployment Manager, etc.) and CI/CD pipelines.
Excellent communication skills and ability to work with both technical and nontechnical stakeholders.
Preferred :
Google Cloud Professional Cloud Architect and/or Professional Machine Learning Engineer certifications.
Experience leading multiproject or multitenant GCP environments in production.
Experience setting up or governing data platforms on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub).
