AI Solution Architect
Tasks
- Apply integration design patterns
- Architect enterprise AI applications with LLMs and agentic workflows
- Build and optimize RAG and semantic search pipelines
- Deploy AI workloads on Azure AI or Google Cloud AI
- Design embeddings pipelines
- Develop LLM powered applications using APIs
- Drive MLOps with automated training CI CD monitoring and retraining
- Ensure security compliance and resilience
- Implement multi agent orchestration with LangGraph
- Lead AI product lifecycle
- Mentor teams in LangChain LangGraph embeddings RAG and AI design
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Gateway | Agentic AI | Azure AI | Azure AI Foundry | Azure Cognitive | Azure Cognitive Search | Azure ML | Azure OpenAI | CI/CD | CQRS | Claude | Cloud AI | Cloud Native | Cloud Native Architecture | Cognitive Search | Embeddings | Event Driven | Event-driven architecture | Faiss | Gemini | Google Cloud | Google Cloud AI | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llama | MLOps | Microservices | Milvus | Monitoring | OpenAI | Pinecone | PubSub | Python | RAG | Retraining | Retrieval-Augmented Generation | Semantic Search | Service Mesh | Vector Databases | Vertex AI | Weaviate
Education
N/A
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