AI Engineering Manager - Global Infra
Tasks
- Architect GenAI and agentic AI on GCP
- Coach and mentor engineers
- Define DevOps and MLOps practices for AI
- Design build and operate production AI solutions
- Ensure AI security privacy governance
- Establish AI testing and evaluation
- Implement AI observability
- Implement agentic workflows and tool integrations
- Lead AI engineering team
- Review designs and code
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Pipelines | AI endpoints | Agent Builder | Alerting | Aline | Azure AI | Azure AI Foundry | Blue-Green Deployment | Blue/green | CI/CD | Canary | Canary Deployment | DevOps | Embeddings | Fine Tuning | GCP | GenAI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Human-in-the-loop | Incident Management | Infrastructure as Code | Language Models | Language Processing | Large Language Models | Logging | MLOps | Machine Learning | Metrics | Model Evaluation | Natural Language | Natural Language Processing | Observability | Online Model Evaluation | Prompt injection | Python | RAG | Red Teaming | Regression testing | Retrieval-Augmented Generation | The Loop | Tokenization | Tracing | Transformers | Vector Search | Vertex AI | Vertex AI Agent Builder | Vertex AI Endpoints | Vertex AI pipelines | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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