AI Architect

Architectural Design : Build scalable, cost-aware systems handling data pipelines, GPU utilization, and model deployment across hybrid or cloud environments.

- Technology & Model Selection : Choose between RAG (Retrieval-Augmented Generation) or fine-tuning, and select the best tools (e.g., LangGraph, TensorFlow, PyTorch) for specific use cases.

- System Integration : Guarantee AI solutions integrate seamlessly with existing IT infrastructure and maintain security standards.

- Governance & Lifecycle Management : Implement MLOps (ModelOps), monitor for latency and hallucinations, and establish automated guardrails.

- Stakeholder Management : Collaborate with executives, data scientists, and engineers to align technology roadmaps with business ROI.