Role overview
**Job Title: Senior Prompt Engineer**
**Duration: 6 months with potential to extend or convert**
**Location: 1525 W W T Harris Blvd., Charlotte, NC - 28262 - Hybrid Role**
**About this role:**
* Wells Fargo is seeking a Senior Prompt Engineer to support enterprise AI initiatives by standardizing and optimizing prompt engineering practices across business units.
* This contingent role is based on site in Charlotte, NC.
**The core competencies are:**
**Understanding of LLM Behavior**
* How large language models process tokens, context windows, and temperature settings.
* Knowledge of prompt injection risks and mitigation strategies.
**Prompt Design & Optimization:**
* Techniques like few-shot prompting, chain-of-thought, role prompting, and zero-shot learning.
* Ability to structure prompts for clarity, specificity, and adaptability.
**Natural Language Processing (NLP) Fundamentals:**
* Tokenization, embeddings, semantic similarity.
* Understanding of text generation, summarization, and classification.
**Critical Thinking & Creativity:**
* Ability to break down complex tasks into smaller steps.
* Crafting prompts that balance constraints and flexibility.
**Evaluation & Iteration:**
* Designing A/B tests for prompt performance.
* Using metrics like BLEU, ROUGE, or human evaluation for quality.
**Ethics & Safety:**
* Awareness of bias, fairness, and responsible AI principles.
* Techniques for avoiding harmful or sensitive outputs.
**Basic Programming Skills;**
* Python for automation and API integration.
* Familiarity with JSON for structured outputs.
**Required Qualifications:**
* 3+ years of experience in AI/ML, NLP, or related fields, with hands-on exposure to Generative AI systems.
* Strong understanding of LLMs, prompt-response dynamics, and model limitations.
* Proficiency with platforms like OpenAI, Anthropic, Google Vertex AI, or similar.
* Excellent analytical and communication skills to bridge technical and non-technical teams.
* Ability to document and standardize processes for scalability.
**Preferred Qualifications:**
* Bachelor's or master's degree in computer science, Data Science, Linguistics, or related discipline.
* Experience with advanced prompt techniques (e.g., chaining, RAG, context injection).
* Familiarity with enterprise AI governance frameworks and risk mitigation strategies.
* Prior experience in regulated industries such as finance or healthcare..