Computational Linguist, Generative AI - Sr. Associate

Wilmington, DE, US • Posted 5 days ago • Updated 6 hours ago
Full Time
On-site
USD $104,500.00 - 165,000.00 per year
Fitment

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Job Details

Skills

  • Data Analysis
  • Large Language Models (LLMs)
  • Taxonomy
  • KPI
  • Use Cases
  • Statistics
  • Semantics
  • Reasoning
  • Data Integration
  • Extraction
  • Orchestration
  • Optimization
  • Continuous Improvement
  • Data Quality
  • Customer Experience
  • Computational Linguistics
  • Autogen
  • Linguistics
  • Product Development
  • Training
  • Prompt Engineering
  • Performance Monitoring
  • Python
  • Git
  • Linux
  • Bash
  • Scripting
  • Fluency
  • Pandas
  • NumPy
  • scikit-learn
  • NLTK
  • Transformer
  • BERT
  • LangChain
  • Computerized System Validation
  • Jupyter
  • Workflow
  • Ontologies
  • Artificial Intelligence
  • Management
  • Customer Facing
  • Customer Service
  • Communication
  • Regulatory Compliance
  • Generative Artificial Intelligence (AI)
  • Evaluation
  • Natural Language Processing
  • Health Care
  • Backup
  • Finance
  • Coaching
  • Recruiting
  • SAP BASIS
  • Law
  • Financial Services
  • Banking
  • Financing
  • Payment Processing
  • Credit Cards
  • Sales
  • Customer Satisfaction
  • Customer Care and Billing
  • Data Governance
  • Reporting
  • Data Science
  • Machine Learning (ML)
  • Partnership
  • Collaboration
  • Analytics

Summary

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.

About Us

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

About the Team

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10125746
  • Position Id: b5dcf01d436afe66e8cfe93bc89675e3
  • Posted 5 days ago
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