What are the responsibilities and job description for the Applied AI ML-Executive Director position at JPMorgan Chase?
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. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI/ML Executive Director in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank’s day-to-day operations. You’ll work hands-on across the end-to-end model lifecycle—partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities
- Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
- Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
- Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills:
- PhD degree in Computer Science, Data Science or similar with 10 years of experience Or Master’s degree in Computer Science, Data Science or similar with 15 years experience with work experience in LLM/NLP, Generative AI, Agentic AI and search.
Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
- Advanced demonstratable programming skills on more than 1 programming language is required such as Spark, Python, Scala, Java.
- Can learn quickly programming in another programming language and seamlessly. Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.
Preferred qualifications, capabilities, and skills:
- Undergraduate and master’s degree in computer science with concentration in NLP or Search experience.
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).