Gen AI Agentic AI Architect
Tasks
- Apply prompt engineering
- Build multi-agent architectures
- Build tool-using agents
- Create AI evaluation frameworks
- Deploy AI workloads in production
- Design LLM pipelines
- Develop agent communication protocols
- Facilitate AI discovery workshops
- Implement RAG systems
- Implement agent memory
- Manage client stakeholder expectations and risks
- Optimize cost latency model performance
- Present prototypes and roadmaps
- Support RFP responses
- Translate business requirements into solution designs
- Tune models with LoRA
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AKS | API Integration | Agent systems | Agentic AI | Azure | Azure AI | Azure AI Search | Azure Functions | Azure OpenAI | CI/CD | Container Apps | Content Safety | Csharp | Database Integration | Embeddings | Enterprise Security | Fine Tuning | Function Calling | Hybrid retrieval | Language Models | Large Language Models | LoRA | Multi-Agent | Multi-Agent Systems | Observability | PGVector | Parameter efficient fine-tuning | Pinecone | Prompt engineering | Python | RAG | Redis | Reranking | Responsible AI | Semantic Kernel | TypeScript | Vector Search
Education
N/A
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