Applied AI ML Senior Associate

Job Description
Join our Card Product Configuration & Support team as a Senior Associate, where you'll leverage Generative AI (GenAI) to transform and automate processes within our Credit Card business. This role offers significant career growth and the opportunity to work on strategic, high-impact projects that drive efficiency and innovation.
We are seeking a highly skilled Senior Associate to join our Card Product Configuration & Support team. This role is focused on developing and implementing Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and advanced model validation techniques-to enhance automation, decision-making processes, and reporting capabilities. You will work on strategic projects that drive transformation and efficiency across our Credit Card business, leveraging GenAI to deliver innovative solutions.
Key Responsibilities

• Develop and implement GenAI solutions using Python to enhance automation and decision-making processes within the Card Product Configuration & Support team.
• Design, validate, and deploy Retrieval-Augmented Generation (RAG) solutions and knowledge base integrations, utilizing frameworks such as RAGAS for LLM model validation and performance monitoring.
• Work with state-of-the-art LLMs including GPT-4o, GPT-4.1, GPT-5, Claude (3.5, 3.7, 4), Llama, Mistral, Nova, BERT, and Transformer models.
• Collaborate with internal stakeholders to identify business needs and develop GenAI solutions that address client needs and drive transformation.
• Design and implement scalable and reliable data processing pipelines and deploy GenAI model inference services.
• Monitor and improve GenAI model performance through feedback, active learning, and advanced validation techniques (e.g., RAGAS).
• Integrate and work with AI Agents to automate workflows and enhance business processes.
• Collaborate with technology teams to deploy and scale GenAI models in production environments.
• Deliver written, visual, and oral presentations of GenAI findings to business and technical stakeholders.
• Stay updated on the latest advancements in GenAI, LLMs, and data science, and identify emerging techniques to drive ongoing enhancement.
• Ensure compliance with data privacy and security standards.
  Required Qualifications, Capabilities, and Skills
• Master's degree in a relevant quantitative field and 4+ years of data analytics experience.
• Advanced Python programming skills with experience writing production-quality code.
• Strong knowledge of language models, prompt engineering, model fine-tuning, domain adaptation, and RAG architectures.
• Experience with GenAI frameworks and tools, including RAGAS for LLM validation and knowledge base integration.
• Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
• Familiarity with modern analytics tools (e.g., Tableau, Alteryx, UiPath, PowerApps) and data querying languages (e.g., SQL) is preferred.
• Exposure to a wide range of LLMs and GenAI models: GPT-4o, GPT-4.1, GPT-5, Claude (3.5, 3.7, 4), Llama, Mistral, Nova, BERT, Transformer models, and Anthropic models.
• Experience working with AI Agents and automation tools.
• Good understanding of data structures, algorithms, and statistics.
• Excellent communication skills and the ability to convey complex information to both technical and business audiences.
• Leadership and collaboration skills with a strong intellectual curiosity for solving business problems.
• Experience in the financial services industry is a plus.

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.