AI Architect
Tasks
- Advise on AI architecture for client engagements
- Architect AI-native systems
- Architect multi-agent systems
- Contribute to proposals and technical due diligence
- Define reference architectures and standards
- Design RAG pipelines and prompt frameworks
- Design scalable AI infrastructure
- Ensure data governance and quality
- Establish model and prompt versioning
- Evaluate and select model and retrieval approaches
- Implement MLOps and LLMOps practices
- Mentor engineers and data scientists
- Monitor performance and costs
- Oversee implementation of LLM powered applications
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Bedrock | Agent Orchestration | Agentic AI | Azure | Azure OpenAI | CI/CD | Docker | Embeddings | Event Driven | Event-driven architecture | Faiss | Fine Tuning | Google Cloud | Hugging Face | Kubernetes | LLMs | Microservices | Milvus | Model Evaluation | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | Pinecone | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | System Integration | TensorFlow | Tool-Calling | Vector Databases | Vertex AI | Weaviate
Education
N/A
Roles
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