AI Solution Architect
Tasks
- Architect agentic AI systems
- Conduct technical design reviews and proof of concept evaluations
- Create reusable architectural patterns and reference designs
- Define LLMOps and AgentOps practices
- Define agent capabilities and tool calling contracts
- Design genai solution architectures
- Develop solution blueprints and API tool contracts
- Embed responsible AI and safety controls
- Implement agent observability and evaluation pipelines
- Monitor post deployment drift and quality
- Optimize for cost latency throughput and reliability
- Own end to end data ingestion retrieval and model orchestration
- Set GenAI agent and AgentOps standards
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | AI Search | API Design | Agent Framework | AgentOps | Autogen | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | B testing | C# | CI/CD | CrewAI | Distributed Systems | Docker | Evaluation Frameworks | Event Driven | Event-driven architecture | GraphRAG | Human-in-the-loop | Hybrid search | Kubernetes | LLMOps | Langchain | Langgraph | Llamaindex | MCP | MLOps | Microservices | Microsoft Agent | Microsoft Agent Framework | Observability | OpenAI | OpenTelemetry | PGVector | Pinecone | Prompt engineering | Python | RAG | Sandboxing | Semantic Kernel | Structured outputs | The Loop | Token budgeting | Tool-Calling | Tracing | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Solution Architect | Architect | Software Architect | Solution Architect
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