Senior Prompt Engineer

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..