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Ai Prompt Analyst Jobs in Delaware (NOW HIRING)

Working knowledge of generative AI, intelligent automation, prompt engineering, and responsible AI ... Analytics, Computer Science, or related field required * Master's degree, MBA, CPA, CMA, or ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

At least 1 year of experience in data science, analytics, automation, or AIrelated work. Desired Qualifications Basic understanding of AI/ML concepts, including large language models and prompt ...

AI Solutions Engineer

Newark, DE · On-site

$80 - $100/hr

Hands-on experience with AI application development, including LLM APIs, RAG, agents, prompt engineering, or related technologies. * Ability to understand business processes, analyze ambiguous ...

Senior eDiscovery Analyst

Wilmington, DE · Remote

$89K - $113K/yr

Relativity Analytics, and Active Learning / continuous active learning (CAL)) to reduce the size of ... AI as applied to document review -- including prompt engineering, model limitations and ...

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Ai Prompt Analyst information

What is an AI prompt analyst?

An AI Prompt Analyst is a professional who specializes in creating, refining, and evaluating prompts to optimize the performance of artificial intelligence (AI) models, particularly large language models like ChatGPT. They analyze how AI systems respond to different inputs and adjust prompts to achieve more accurate, relevant, and useful outputs. AI Prompt Analysts often collaborate with data scientists, developers, and product teams to improve conversational AI and automate tasks efficiently. Their work is essential for maximizing the effectiveness and reliability of AI applications in various industries.

What are the key skills and qualifications needed to thrive as an AI prompt analyst?

To thrive as an AI Prompt Analyst, you need strong analytical thinking, language proficiency, and a background in computer science or linguistics. Familiarity with AI language models, prompt engineering tools, and data analysis platforms like Python or SQL is typically required. Exceptional attention to detail, creativity, and collaboration skills help set top candidates apart in developing effective AI prompts. These skills are vital for optimizing model performance, ensuring accurate outputs, and driving innovation in AI-driven solutions.

What are some common challenges AI prompt analysts face when collaborating with cross-functional teams?

Ai Prompt Analysts often work closely with engineers, designers, and product managers to refine and optimize AI-generated outputs. A common challenge is translating complex technical concepts into user-friendly prompts while ensuring alignment with project goals. Effective communication and adaptability are essential, as prompt requirements may change rapidly based on user feedback or model updates. Building strong collaboration skills helps Ai Prompt Analysts bridge gaps between technical and non-technical stakeholders, ensuring the success of AI-driven initiatives.

What is the difference between Ai Prompt Analyst vs Data Analyst?

AspectAi Prompt AnalystData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or NLP; often a degree in computer science or related fieldsDegree in statistics, mathematics, or data science; certifications in data analysis tools
Work EnvironmentTech companies, AI startups, or departments focusing on AI content creationBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsagePrimarily in AI development, content generation, and NLP projectsAcross industries for data-driven decision making and reporting

While both roles involve working with data and technology, an Ai Prompt Analyst specializes in crafting and optimizing prompts for AI models, focusing on language and AI interaction. A Data Analyst interprets data sets to provide insights and support decision-making. The roles overlap in technical skills but differ in their core focus and application areas.

What job categories do people searching Ai Prompt Analyst jobs in Delaware look for?

The top searched job categories for Ai Prompt Analyst jobs in Delaware are:

What cities in Delaware are hiring for Ai Prompt Analyst jobs?

Cities in Delaware with the most Ai Prompt Analyst job openings:

Infographic showing various Ai Prompt Analyst job openings in Delaware as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid

Citi

Wilmington, DE • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

38th of 175 rated banks


Job description

About the Role We are looking for a technically deep, strategically minded leader to own Partner AI Development & Delivery and GenAI Model Governance. This role sits at the intersection of Generative AI innovation, enterprise model governance, and regulatory compliance - with end-to-end accountability across high-visibility programs that shape business outcomes at scale. You will lead a multi-geography team, engage MD-level stakeholders across Operations, Marketing, Products, Technology, Model Risk, Fair Lending, and Legal, and deliver across expense reduction, revenue growth, customer experience improvement, compliance transformation, and enterprise GenAI capability buildout.

What You'll Deliver 1. Banking Operations AI Automation Partner with business units and Technology to deliver GenAI-powered automation across front, mid, and back office banking operations - including call center IVR, Agent Assist, Collections, and other operational functions. Combine technical depth with deep banking domain knowledge to address complex, cross-functional challenges at scale.

2. Foundation GenAI Capabilities Support enterprise-wide foundational GenAI capabilities including LLM fine-tuning and semantic layer development - enabling scalable, data-driven decision-making across business functions. 3.

GenAI Solution Development Own the full AI solution lifecycle - concept to production - for high-priority business problems including Personalized Next Best Action decisioning, Campaign Analytics, and Conversational & Contextual Business Insights. 4. Analytics Workflow Transformation Conceptualize AI-powered tools that accelerate analytics workflows and drive productivity.

Lead the evolution of AI-enhanced modeling techniques to improve development speed and precision. 5. GenAI Model Portfolio Governance Manage a large GenAI model portfolio across its full lifecycle - tuning, upgrades, and maintenance.

Serve as Model Sponsor Delegate, with formal accountability for model ownership, sign-off, and governance under Model Risk Policy. 6. Enterprise GenAI Capabilities Build firm-wide GenAI infrastructure: adversarial testing, regulatory testing, guardrails, near real-time monitoring, and AI governance policy co-development with the second line of defense.

7. Measurable Productivity & Delivery Establish frameworks that track outcomes across business deliverables and team performance - aligned with senior leadership priorities. How You'll Deliver Build a High-Performing AI Team Recruit top talent and lead a specialized team delivering enterprise-grade AI.

Foster a culture of innovation focused on non-linear outcomes. Partner with Central AI and Business Teams Execute strategically with the firm's Central AI organization and business units to redesign processes and deliver measurable change. Align on Priorities Work closely with business stakeholders and analytics leadership to identify, prioritize, and resource high-impact AI solutions - enabling rapid alignment and efficient delivery.

Maintain a Robust Controls Mindset Ensure teams follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation AI re-engineering of business and data processes. Qualifications Experience 10+ years in AI/ML, data science, or quantitative analytics within financial services Proven expertise in Generative AI, LLMs, and applied GenAI product development in production environments Track record in model risk management, regulatory remediation, and formal model governance Experience managing large-scale AI/ML model portfolios including lifecycle, tuning, and upgrades Deep data domain knowledge across core banking functions - including marketing, customer management, call center operations, collections, complaints, and financial controls - with the ability to connect data signals to business outcomes Strong understanding of credit card economics, customer behavior, and product strategy at the intersection of data and finance Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution Technical Skills GenAI & ML: Generative AI, LLMs, RAG, Agentic AI, prompt engineering, LLM fine-tuning, NLP, supervised/unsupervised learning, Mathematical Optimization & Decision Science Infrastructure & Ops: MLOps/LLMOps, cloud-native AI platforms, big data, distributed computing, Spark, Python, SQL Governance: Adversarial testing, guardrails, regulatory testing frameworks, near real-time model monitoring Tooling: SDLC, version control (Bitbucket/GitHub), JIRA, DevOps Regulatory: SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, ECOA - in the context of AI/ML deployment within a regulated institution Leadership & Communication Proven ability to lead distributed, multi-geography teams in a global, matrixed organization Exceptional stakeholder management - engage, influence, and negotiate at the MD level Strong program management across complex, multi-workstream initiatives with regulatory and executive timelines Ability to translate technical complexity into clear narratives for senior audiences Board-ready executive communication and presentation skills Education Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required Master's degree or Ph.D. strongly preferred ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: New York New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $192,000.00 - $288,000.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards

Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com

Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------ Anticipated Posting Close Date: Sep 11, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals.

Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.


What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US