Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations.

Hands-on experience with OpenAI APIs, Azure OpenAI, AWS Bedrock, Anthropic, LangChain, LlamaIndex, Semantic Kernel, Copilot Studio, or similar platforms.

Ability to debug LLM outputs using structured testing, error analysis, and iterative refinement.

Strong writing, analytical, communication, and stakeholder-management skills.

Understanding of prompt-security risks including prompt injection, jailbreaks, data leakage, hallucination, and instruction conflicts.

Ability to create repeatable prompt templates and evaluation evidence suitable for enterprise governance.