Senior Administrator - Google Cloud Platform (GCP)
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026.
Job Summary
AI/ML JDExperience: 5-10 years (ML), 1-2 years (GenAI) Overview: Seeking AI/ML Engineer with expertise in Vertex AI, LLMs, and agentic workflows. Build intelligent systems using RAG, prompt engineering, and MLOps. Key Responsibilities: - Deploy and monitor ML models on Vertex AI. - Fine-tune LLMs and RAG systems. - Use LangChain, LlamaIndex for agentic AI. - Implement GenAI tools and APIs. - Ensure safety, explainability, monitoring. Required Skills: - Strong in TensorFlow, PyTorch, scikit-learn. - Vertex AI, BigQuery ML, Feature Store. - Python, FastAPI, model monitoring tools. Preferred Qualifications: - GCP ML Engineer cert. - GenAI coursework or certification.
Key Responsibilities
1. Adhere To Quality Standards, Regulatory Requirements, And Company Policies By Implementing Best Practices In Gcp Support Operations.
2. Provide Advanced Technical Support For Complex Incidents Escalated By Analysts, Conducting Root Cause Analysis And Implementing Effective Solutions To Resolve Technical And Security Issues In Gcp Environments.
3. Engage In Value-Adding Activities Such As Updating And Managing The Knowledge Base, Training New Team Members, And Coaching Analysts On Gcp Best Practices.
4. Resolve Complex Support Tickets Within Agreed Slas, Collaborating With Cross-Functional Teams To Ensure Seamless Operations And Maintain A Robust Security Posture In Gcp.
5. Foster A Positive Customer Experience And Improve Customer Satisfaction (Csat) Metrics Through First Call Resolution, Minimizing Rejected Resolutions And Re-Opened Cases, While Actively Mitigating Security Threats.
Skill Requirements
1. Advanced Proficiency In Google Cloud Platform (Gcp) Services And Architecture.
2. Strong Troubleshooting Skills In Cloud Environments, With A Focus On Incident Resolution And Root Cause Analysis.
3. Familiarity With Cloud Security Best Practices And Compliance Requirements.
4. Experience In Knowledge Management And Training Methodologies.
5. Excellent Communication And Collaboration Skills To Work Effectively With Diverse Teams.
Other Requirements
1. Optional But Valuable: Google Cloud Certified Professional Cloud Architect