Digital & GenAI Architect - Consulting
Tasks
- Advise fine tuning vs RAG vs prompt tuning
- Define AI reference architectures
- Design AI design patterns and best practices
- Design RAG strategies
- Ensure responsible AI compliance privacy and security
- Evaluate proof of concept technical viability
- Guide LLM selection
- Implement prompt engineering and prompt lifecycle management
- Mentor AI architects developers and data scientists
- Optimize AI system performance
- Optimize vector database selection
- Review and validate AI solution designs
- Serve as AI SME
- Troubleshoot production AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Framework | Artificial Intelligence | Azure Agent | Azure Agent Framework | CI/CD | Chunking | Data Preprocessing | Deep learning | Embeddings | Generative AI | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-vector Retrieval | NumPy | Pandas | Pinecone | PostgreSQL | Prompt engineering | RAG | Reinforcement Learning | Reranking | Supervised Learning | Unsupervised Learning | Vector Databases | Vector Retrieval
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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