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.