Applied AI ML-Vice President

JPMorgan Chase & Co. • New York, NY

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees