AI Solution Architect
Tasks
- Architect agentic AI systems
- Create solution design artifacts
- Define GenAI platform stack and integration
- Define agent capabilities and tool calling contracts
- Define evaluation criteria and acceptance gates
- Design GenAI solutions and RAG pipelines
- Embed responsible AI and safety controls
- Ensure alignment with enterprise architecture and security standards
- Evaluate build vs buy and vendor options
- Implement AI and agent observability
- Implement AgentOps and LLMOps practices
- Lead technical design reviews and proof of concept evaluations
- Optimize cost latency throughput and reliability
- Own end-to-end AI solution architecture
- Set GenAI and agent platform standards
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | AI Search | APIs | Agent Framework | AgentOps | Autogen | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | B testing | C# | CI/CD | CrewAI | Distributed Systems | Docker | Event Driven | Event-driven architecture | GCP Vertex | GCP Vertex AI | GraphRAG | Hybrid search | Kubernetes | LLMOps | Langchain | Langgraph | Llamaindex | MCP | MLOps | Microservices | Microsoft Agent | Microsoft Agent Framework | Observability | OpenAI | OpenAI Service | OpenTelemetry | PGVector | Pinecone | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Structured outputs | Token budgeting | Tool-Calling | Vector Database | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Solution Architect | Architect | Software Architect | Solution Architect
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