Machine Learning Engineer, GenAI/ML - Vice President

JPMorganChase; Plano (TX); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

JPMorgan Chase is seeking a Vice President Machine Learning Engineer to design, build, and maintain GenAI/ML platforms within Banking & Wealth Management. You will lead AI solutions, contribute to POCs, and ensure secure, production-grade code, while shaping UI layers with modern front-end technologies and leveraging AWS for scalable AI deployments.

The role emphasizes leadership in AI strategy, architecture, and delivering resilient, high-quality systems spanning data, apps, and operations in a

Qualifications

• 7+ years of strong proficiency in Python or Java and ability to architect and build complex AI models from scratch.
• 2 years of experience in generative AI development and prompt engineering.
• Proven experience in system design, development, testing, and operational stability in AI projects.
• 5+ years of strong experience with React or Angular.
• 2+ years of AWS experience.
• Understanding of CI/CD, Application Resiliency, and Security applied to AI projects.
• Experience with LLM models and agentic tools.

Responsibilities

• Lead the design, development, and deployment of generative AI solutions, aligned with business objectives and technical requirements.
• Demonstrate deep expertise in generative AI technologies, contributing to POCs and evaluating new methodologies.
• Architect and build secure, high-quality production code in Java or Python.
• Create intuitive UIs for AI applications using React or Angular and conduct code reviews.
• Leverage AWS to implement best practices for AI integration and automate processes.
• Participate in communities of practice to promote new generative AI technologies.

Skills

Python

Java

Generative AI

Prompt engineering

React/Angular

CI/CD

Application resiliency

Security

LLMs

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

AWS

Job description

Job Description

Join a dynamic and diverse team that engineers large-scale, complex, and resilient technology solutions that drive our global business.

As a Machine Learning Engineer, GenAI/ML - Vice President within Banking & Wealth Management, Consumer & Community banking Home Lending Technology team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities

• Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
• Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required Qualifications, Capabilities, And Skills

• Minimum 7+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
• Two years of experience in generative AI development and prompt engineering.
• Proven experience in system design, application development, testing, and operational stability in AI projects.
• Minimum 5+ years of strong experience with React or Angular.
• Minimum 2+ years of AWS experience.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
• Experience with LLM models and agentic tools.

Preferred Qualifications, Capabilities, And Skills

• Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
• Familiarity with data engineering practices to support AI model training and deployment.
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
• Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

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.