Agentic AI Architect-D
Tasks
- Apply AI governance frameworks
- Apply agent guardrails and safety controls
- Build RAG-architectures
- Build agent memory patterns
- Build planning and reflection frameworks
- Design multi-agent architectures
- Design secure responsible AI solutions
- Develop agent platforms for production
- Implement AI observability
- Implement agent evaluation frameworks
- Implement agentic workflows
- Implement semantic search with vector databases
- Integrate enterprise AI systems with business applications
- Optimize retrieval performance
- Orchestrate AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
A2A protocol | AI Governance | AI Observability | Agent Orchestration | Agent systems | AgentOps | Amazon Bedrock | Azure OpenAI | Chroma | Embeddings | Google ADK | Langchain | Langgraph | MCP | Multi-Agent | Multi-Agent Systems | RAG | Responsible AI | Retrieval optimization | Security controls | Semantic Search | Tool-Calling | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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