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Generative Ai Associate Jobs in Delaware (NOW HIRING)

This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

CCB Risk Program Associate

Wilmington, DE

$57K - $57K/yr

... and generative AI solutions using LLM prompt engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for generative ai associate in Delaware is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.51 per hour, depending on experience, location, and employer.

How does a Generative AI Associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are Generative AI Associates?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

What are the key skills and qualifications needed to thrive as a Generative AI Associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.
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Computational Linguist, Generative AI - Sr. Associate

Computational Linguist, Generative AI - Sr. Associate

JP Morgan Chase

Wilmington, DE • Hybrid

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

We're looking for a versatile Computational Linguist to join our team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models.  
This role is ideal for someone who can move between qualitative language analysis and quantitative evaluation. You'll work cross-functionally with Machine Learning Engineers, Analytics team and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.   


Core Responsibilities 
    Serve as a subject matter expert, engaging with various stakeholders throughout the product lifecycle, and maintain a strong understanding of the Chase Digital Assistant's model from both customer and technical perspectives. 
    Manage, monitor, and evaluate and version the Chase Digital Assistant's intent and entity taxonomy and the model training; Enforce taxonomy versioning practices to ensure traceability and rollback capability 
    Work closely on the adaptation to LLM-driven workflows, ensuring seamless integration of LLMs with existing conversational AI architectures and event tracking systems. 
    Implement and evolve metrics and KPIs across Model Correctness, Customer Experience, AI Assurance, and Business Metrics and ensure evaluation is transparent, repeatable, and release-decision-ready 
    Maintain established metrics and introduce new guardrail metrics for LLM and generative use cases 
    Manage full artifact suite for LLM models including  descriptions, prompts, evaluation rubrics, LLM-as-judge prompts, guidelines, calibration data, data statistics & reliability measures.  
    Apply ontology design principles to improve semantic reasoning and data integration aligned to business standards. 
    Design frameworks to incorporate knowledge graphs within classification and extraction model architectures. 
    Align knowledge models with RAG pipelines and agent orchestration to enhance AI functionality. 
    Work with data scientists, software engineers, and business stakeholders to translate requirements into robust solutions. 
    Identifying optimization opportunities across teams, supporting continuous improvement across model performance, data quality, and feature coverage for improving customer experience. 
Required Qualifications, Capabilities, and Skills 
    Master's degree in Computational Linguistics, NLP, Linguistics, or related field 
    2+ experience  in Computational Linguistics or NLP applied to chatbot or conversational AI development 
    Hands-on experience with Generative AI and Agentic AI frameworks and evaluation (e.g., AutoGen, LangGraph, CrewAI, Sierra) 
    Linguistic background in discourse & pragmatics 
    Advanced knowledge of conversational AI product development lifecycle - training, design, conversation analysis 
    Hands-on experience with LLM integration, prompt engineering, evaluation, and performance monitoring 
    Proficient in Python, Git, Linux, and Bash scripting 
    Fluent with NLP/data science libraries: pandas, numpy, scikit-learn, NLTK 
    Experience with transformer-based models (e.g., BERT, GPT) - fine-tuning and application 
    Experience with generative AI SDKs and frameworks (e.g., OpenAI, Google, Anthropic, LangChain) 
    Comfortable with JSONL, CSV, and Jupyter notebook workflows 
    Experience with ontologies/taxonomies and knowledge graphs 
    Solid understanding of evaluation methodologies including human-AI comparison and red teaming 
    Direct experience with financial institutions, financial products, and customer-facing queries 
    Chase customer service experience highly desirable 
    Strong written communication for documenting experiments, results, and processes

Preferred Qualifications 
    Experience with hybrid conversational architectures, generative AI, and LLM-driven flow design 
    Familiarity with LLM safety, bias, and compliance 
    Demonstrated success in a highly matrixed organization 
    Awareness of current GenAI trends and evaluation challenges in subjective NLP tasks 
    Solve the cold start problem via synthetic data generation for new intents, flows, and low-resource scenarios. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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