Forward Deployed Engineer IV, GenAI, Google Public Sector
Tasks
- Architect AI systems on cloud platforms
- Build data pipelines for structured and unstructured data
- Build evaluation pipelines and observability frameworks
- Co develop reusable modules with customer engineering teams
- Develop complex AI applications
- Identify repeatable field patterns
- Implement retrieval-augmented generation workflows
- Integrate AI products with customer infrastructure
- Lead technical discovery sessions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | APIs | Agent systems | BigQuery | CI/CD | Cloud platform | CrewAI | Data Sovereignty | Experimentation | Google Cloud | Google Cloud Platform | Hierarchical delegation | Kubeflow | Langgraph | Language Models | Large Language Models | Latency | MLflow | Model Quantization | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | React | Retrieval-Augmented Generation | Security Architecture | Self-reflection | Structured data | Tokenization | Tokens Per Second | Unstructured Data | Vector Database | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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