Agentic AI Architect
Tasks
- Architect multi-agent collaboration systems
- Create RFP RFI solution overviews
- Create reusable agent templates and accelerators
- Define solution blueprints and MVP scopes
- Deliver client workshops and demos
- Deploy LLM powered workflows
- Design AI agent ecosystems
- Develop architectural diagrams
- Develop autonomous AI “Agents”
- Estimate effort and cost
- Implement AI governance and responsible AI practices
- Integrate external tools into agents
- Manage agent memory systems
- Monitor AI system performance
- Provide technical mentorship
Perks/Benefits
Skills/Tech-stack
AI Observability | API Integration | AWS | Agent planning | Agent reasoning | Autogen | Cloud Architecture | Cloud platform | CrewAI | Embeddings | GenAI | Google Cloud | Google Cloud Platform | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Microsoft Azure | Prompt engineering | Python | Responsible AI | Semantic Kernel | Tool-Calling | Vector Databases
Education
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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