Applied AI ML-Executive Director

JPMorganChase; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health care coverage

Tuition reimbursement

Retirement savings plan

Job summary

JPMorganChase is seeking an Applied AI/ML Executive Director to lead the development of cutting-edge Natural Language Processing solutions to enhance customer and internal agent experiences. This role requires deep expertise in NLP and machine learning, as well as strong programming skills in languages like Spark and Python. You will play a key role in product development, utilizing your extensive experience to translate operational needs into effective language capabilities. A competitive compensation package and comprehensive benefits are offered.

Qualifications

• 10+ years experience with LLM/NLP, Generative AI.
• Outstanding written and oral communication skills.
• Advanced programming skills in multiple languages.

Responsibilities

• Apply NLP knowledge to solve complex business problems.
• Contribute to the full product development lifecycle.
• Act as an advanced contributor in system development.

Skills

Natural Language Processing (NLP)

Deep learning

Programming skills (Spark, Python, Scala, Java)

Education

PhD in Computer Science or Data Science

Master's degree in Computer Science or Data Science

Tools

Spark

Python

Scala

Java

Job description

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 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).

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.

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