Applied AI/ML Lead

JPMorganChase; Columbus (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking an Applied AI Engineer Lead within the Consumer & Community Banking Machine Learning team to drive the development of trusted AI solutions. You will lead cross-functional efforts to build scalable ML models, real-time predictions, and secure production pipelines.

You will guide architecture decisions, mentor engineers, and collaborate with data teams to deliver market-leading technology in a secure, stable environment.

Qualifications

• Bachelor's in Computer Science or related field with 5+ years of experience, or Master's with 2+ years.
• Proven track record of building and scaling software or ML platforms in enterprise environments.
• Experience with ML frameworks, MLOps practices, and production ML systems.

Responsibilities

• Provide technical guidance to business and technical teams, contractors, and vendors.
• Develop secure, high-quality production code and review others' code.
• Influence product design and technical operations decisions.

Skills

LLM/NLP

Python

Java

ML Ops

APIs

CI/CD

Education

Bachelor's in CS or related field

Master's in CS or related field

Tools

LangChain

LangGraph

AutoGen

OpenSearch

Jenkins

GitLab CI/CD

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 Engineer Lead within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high‑quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision‑makers to consider the use and application of leading‑edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future‑proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next‑generation machine learning models and systems leveraging cutting‑edge technologies
• Ensure the platform supports complex use cases, including real‑time predictions, big data processing, and advanced analytics
• Promote software and model quality, integrity, and security across the organization

Required Qualifications, Capabilities, And Skills

• Bachelor's in Computer science or similar fields with 5+ years experience or Master's in Computer science or similar fields with 2+ years experience, with training and work experience in LLM/NLP and search.
• Proven track record of building and scaling software and or machine learning platforms in high‑growth or enterprise environments
• Experience in machine learning frameworks, ML Ops tools and practices.
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands‑on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)

Preferred Qualifications, Capabilities, And Skills

• 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).

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.