Related skills
docker terraform python kubernetes prompt engineering📋 Description
- Administer, configure, and optimize Gemini Enterprise AI and agentic features.
- Manage user provisioning, licenses, access controls, and security policies.
- Oversee GCP resources including AI models, storage, and Gemini models.
- Support Cloud Run workflows, CI/CD pipelines, and containers with Terraform, Docker, Kubernetes.
- Partner with data engineers, DevOps, and stakeholders to troubleshoot prod workloads.
- Conduct prompt engineering and workflow optimization to boost AI accuracy.
🎯 Requirements
- BS/MS in Computer Science, Information Systems, or related field (AI focus preferred).
- Minimum 3 years of GCP experience supporting or developing AI/ML on Google.
- Hands-on experience with AI/ML solutions and ML Ops best practices.
- GCP services: Compute Engine, IAM, Kubernetes, VPC, BigQuery, etc.
- Automation and scripting in Python, Bash, and IaC tools (Terraform/Deployment Manager).
- Gemini Enterprise or similar AI frameworks, incl. prompt engineering and data governance.
🎁 Benefits
- Be part of the Enterprise AI Team driving next-gen innovation.
- Hands-on with Google Gemini Enterprise and agentic AI tools.
- Collaborate with engineers, data scientists, and leaders on visible projects.
- Culture of experimentation, continuous learning, and teamwork with growth.
- Transform enterprise workflows through AI innovation, scalability, and ops excellence.
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