AI Solution Architect
Tasks
- Create multi agent orchestration patterns
- Create reusable delivery design patterns
- Define AI standards and reference architectures
- Define MVP production deployment and scaling approaches
- Define human in the loop processes
- Design secure scalable cost efficient AI architectures
- Design voice based agents and intelligent automation
- Develop enterprise AI solutions and agentic architectures
- Establish AI testing evaluation monitoring and quality assurance
- Implement RAG capabilities and vector search
- Implement governance security and responsible AI compliance
- Mentor AI engineering teams
- Perform technology selection effort estimation and adoption planning
- Prototype proof of concept and conduct technical reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Foundry | AI Governance | AI Search | AI cost optimization | Agent Framework | Agent systems | Agentic Architectures | Application Hosting | Autogen | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure DevOps | Azure OpenAI | CI/CD | ChromaDB | Containers | Copilot Studio | Cost Optimization | Data Services | Databricks | Docker | Embeddings | Express.js | FastAPI | Generative AI | GitHub | Graph API | Human-in-the-loop | Identity | Kubernetes | LLMs | Langchain | Langgraph | Microsoft Agent | Microsoft Agent Framework | Microsoft Fabric | Microsoft Graph | Microsoft Graph API | Monitoring | Multi-Agent | Multi-Agent Systems | Networking | Observability | Orchestration frameworks | Power Platform | Prompt engineering | Python | Qdrant | RAG | REST APIs | Responsible AI | SQL | Security | Spring Boot | Storage | The Loop | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Solution Architect | Architect | Software Architect | Solution Architect
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