Client Partner - Head of AI Foundations for GCP
Tasks
- Build RAG and knowledge base infrastructure
- Build agentic systems infrastructure
- Build and mentor platform engineering teams
- Build training infrastructure for model fine tuning
- Coordinate platform roadmap with global leadership
- Design AI/ML infrastructure
- Design scalable GCP platform for AI workloads
- Design unified monitoring for data and ML and LLMs
- Implement data governance and lineage
- Implement responsible AI frameworks
- Manage infrastructure costs with FinOps
- Monitor model performance and drift
- Own GCP data platform strategy
- Own enterprise readiness and customer requirements
- Partner with delivery teams for client implementations
- Set SLOs and incident response processes
Perks/Benefits
Skills/Tech-stack
Bias monitoring | BigQuery | Cloud Storage | Cloud platform | Compute Engine | Data Governance | Data Lineage | Data Quality | Data fabric | Data mesh | Dataflow | Drift monitoring | Fairness monitoring | FinOps | Fine Tuning | GKE | Google Cloud | Google Cloud Platform | Hallucination Monitoring | Incident Response | Knowledge Base | Kubernetes | LLM monitoring | Language Models | Large Language Models | Machine Learning | Model Drift | Model Fine-tuning | Model drift monitoring | RAG | SLO | Safety controls | Vertex AI
Education
N/A
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