Applied AI ML-Vice President

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. in New York invites an Applied AI/ML Vice President to design, build, and scale cutting-edge NLP solutions that support operations for customers and internal agents.

You will lead end-to-end model lifecycle, partner with product, engineering, operations, and risk, translating real needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.

Qualifications

• 3+ years of CS with NLP/LLM and search experience.
• Outstanding written and verbal communication to present findings to stakeholders.
• Proficient in more than one programming language (e.g., Spark, Python, Scala, Java).

Responsibilities

• Apply NLP knowledge and analytics to solve complex business problems.
• Contribute to full product lifecycle, defining objectives and deliverables.
• Lead in system development, NLP, and ML efforts and iterate on solutions.

Skills

LLM/NLP experience

NLP

Communication skills

Multi-language programming

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Spark

Python

Scala

Java

Job description

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 Vice President 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:

• Undergraduate degree with 3+ years OR master’s degree with 2+ in Computer Science, with training and work experience in LLM/NLP 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).