Google Cloud AI Architect (Agentic AI Solutions)
Tasks
- Architect RAG pipelines and knowledge driven AI systems
- Architect inference and deployment strategies
- Articulate business value in technical presentations
- Deploy scalable LLM powered applications
- Design multi agent systems and autonomous workflows
- Develop enterprise agentic AI architectures
- Drive AI solution architecture for agentic AI
- Evaluate and integrate open source agentic frameworks
- Implement LLMOps monitoring governance and observability
- Integrate LLMs with enterprise systems and workflows
- Lead customer workshops and AI discovery sessions
- Optimize AI architecture costs using FinOps
- Provide architecture guidance during delivery
- Support presales engagements and proposals
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Development | Agent Development Kit | Agent Development Kit ADK | Agent Engine | Agents to Agents A2A | Agentspace | Autogen | Cloud Run | Cloud platform | Compute Engine | CrewAI | FinOps | GKE | GPU | Gemini Enterprise | Google Cloud | Google Cloud Platform | Governance | LLMOps | Langchain | Langgraph | Llamaindex | Model Context Protocol | Model Context Protocol MCP | Observability | Protocol MCP | RAG | Scalability | Security | System monitoring | Vector Databases | Vertex AI | Vertex AI Agent Engine
Education
N/A
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