JP Morgan Chase & Co.

Senior Lead Software Engineer - AI/ML Developer

JP Morgan Chase & Co. • $145K — $175K *
Jersey City, NJ 07305In-Person
Enterprise Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of experience in software engineering with formal training or certification
  • Hands-on experience with machine learning platforms infrastructure
  • Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch
  • Familiarity with data processing tools like Spark and SQL
  • Practical experience with cloud-based ML platforms (AWS, GCP, Azure)
  • Strong understanding of MLOps practices including CI/CD
  • Experience developing APIs for ML workflows
  • Ability to work collaboratively with cross-functional teams

Responsibilities

  • Design and maintain scalable machine learning platforms and infrastructure
  • Develop tools for model training, deployment, and lifecycle management
  • Integrate data engineering and model serving capabilities into ML platform solutions
  • Implement secure, high-quality production code for APIs and automation
  • Lead evaluation sessions to understand and deliver platform requirements
  • Ensure reliability and performance through proactive monitoring
  • Automate infrastructure provisioning and CI/CD for ML services

Benefits

  • Opportunity to work with robust AI/ML technologies in a leading financial institution
  • Access to an agile team environment focused on innovation
  • Involvement in community practice events exploring emerging technologies
  • Collaboration across cross-functional teams to align with business objectives
  • Continuous improvement of engineering practices through AI-assisted tools
Full Job Description
Job Description

As a Lead Software Engineer - AI/ML Solutions at JPMorgan Chase within the Consumer & Community Banking's AI/Machine Learning Platform Engineering Team, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities.

Job responsibilities
  • Designs, builds, and maintains scalable machine learning platforms and infrastructure to support end-to-end ML workflows.
  • Develops and optimizes tools for model training, deployment, monitoring, and lifecycle management.
  • Integrates data engineering, feature management, and model serving capabilities into unified ML platform solutions.
  • Implements secure, high-quality production code for platform services, APIs, and automation pipelines.
  • Leads evaluation sessions with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.
  • Ensures platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.
  • Produces architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
  • Automates infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
  • Contributes to the ML platform engineering community of practice and participate in events that explore new and emerging technologies
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure
  • Advanced in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
  • Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure
  • Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring
  • Experience developing APIs and platform services for ML workflows
  • Proficient in all aspects if the Software Development Life Cycle and Agile Methodologies
  • Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Preferred qualifications, capabilities, and skills
  • Familiarity with Databricks for scalable data engineering and ML platform integration
  • Experience working with Snowflake for cloud-based data warehousing and analytics
  • Exposure to Snorkel AI for programmatic data labeling and training data management
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)
  • Familiarity with feature stores, model registries, and ML metadata management
  • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
  • Experience with RESTful APIs and microservices architectures


FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

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.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at JP Morgan Chase & Co.

More Enterprise Technology Jobs

Find similar Senior Lead Software Engineer - AI/ML Developer jobs:

NationwideJersey City, NJ