Customer Engineer, AI/ML, Google Cloud
Tasks
- Architect cross-pillar solutions
- Build complex demos and pilots
- Define delivery plans
- Develop technical account plan
- Facilitate post-sales transition
- Lead in depth workshops
- Participate in sales motions
- Support pricing activities
- Support ramp delivery migration and implementation
- Support solution phase technical engagement
- Track progress against delivery plan
- Transition delivery plan to implementation teams
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI Studio | AI infrastructure | AI use case identification | Agent Frameworks | Agent systems | Agentic Workflows | Autogen | Cloud Architecture | Cloud platform | Cost Per Request | CrewAI | Enterprise authentication | Google Cloud | Google Cloud Platform | Inference Clusters | LLM Performance Metrics | LLM performance | Langgraph | Language Models | Large Language Models | MCP | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-agent frameworks | Performance Metrics | Provisioned Throughput | Quantization | Secure Agentic Workflows | State management | Tokens Per Second | Tool-Calling | Training Clusters | Use case identification | Vertex AI
Education
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