AI Architect
Summary
Design and build AI systems using LLMs, RAG, and Agentic AI frameworks with Python, TensorFlow, and PyTorch.
- Strong expertise in Machine Learning, NLP, Deep Learning, and Generative AI
- Experience with LLMs, RAG, Agentic AI frameworks
- Proficiency in Python, Java, or similar programming languages
- AI/ML frameworks: TensorFlow, PyTorch
- Knowledge of data engineering, data platforms, and big data tools
- Experience with MLOps / LLMOps pipelines and CI/CD
Architecture & Engineering
- Enterprise architecture and system design
- Microservices, APIs, distributed systems
Business & Consulting Skills
- Strong stakeholder management and communication
- Ability to translate business problems into AI solutions
- Cost, risk, and performance optimization