Agentic AI Architect
Tasks
- Assess AI solution feasibility
- Build production agentic AI components
- Define solution architecture
- Deliver AI proof-of-concept
- Deploy services with Docker
- Design agent state management
- Ensure security, governance, compliance
- Evaluate agentic AI frameworks
- Implement MCP server client
- Integrate systems with APIs
- Manage agent data flows
- Monitor production performance
- Orchestrate tools for agents
- Present POC outcomes to stakeholders
- Set up CI/CD pipelines
- Use AI coding tools to generate code
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI Foundry | AWS AgentCore | AWS Bedrock | Agentic RAG | Amazon Textract | Azure AI | Azure AI Foundry | Azure Document Intelligence | CI/CD | Claude | Docker | Document Intelligence | Gemini | Google Agentspace | Graph RAG | Hybrid search | Knowledge graph | Langchain | Langgraph | Llama | LoRA | MCP | Model strategy | Multi model Strategy | Multi-model | Natural Language | Natural Language to SQL | Neo4j | OpenAI | Python | Q LoRA | RAG | REST API | Re-ranking | SAP | SQL | Salesforce | Snowflake
Education
N/A
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