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..
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