AI Technical Architect

• Designing multi-agent workflows using frameworks like Lang Chain or Lang Graph and architectural design patterns
• Designing data models
• Tracking model performance, managing inference costs, and handling latency tracking.
• Security & Compliance: Guarding privacy, stopping data leaks, and mitigating model hallucinations
• Aligning technical Al choices with real business goals and financial budgets
• Guiding engineering teams through design trade-offs and project execution

Al & Machine Learning: Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud services AWS Saga Maker, Google Cloud Al, Microsoft Azure Al Docker, Kubernetes

Data Management: Knowledge of data pipelines, ETL processes, vector databases, and data governance.

Programming: Proficiency in core languages such as Python & Data Engineering Libraries and Java.