Lead Software Engineer - Machine Learning

JPMorganChase; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase in Jersey City is seeking a Lead Software Engineer to advance secure, scalable AI-enabled payments technology within an agile team. You will contribute to architecture, develop secure production code, and guide best practices across the SDLC, including AI-assisted development and automation.

The role emphasizes cloud-native deployment, production-grade code quality, and collaboration with cross-functional teams to drive delivery speed and reliability in a financial services

Qualifications

• Formal training or certification in software engineering with 5+ years of experience.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Proficiency in one or more programming languages.
• Cloud-native and AI/ML capability.

Responsibilities

• Provide technical guidance to teams, contractors, and vendors.
• Deploy and serve end-to-end ML models.
• Deploy and maintain cloud-native services.
• Promote responsible AI and secure practices.

Skills

Software engineering fundamentals

System design

Application development

Cloud technologies

AI/ML

Secure coding

Leadership

Education

BS in Computer Science/Engineering/Math or related

Tools

Python

OpenAPI

OAuth2

OpenTelemetry

AWS

AI frameworks (Google ADK, LLamaIndex)

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Responsible for deploying and serving end‑to‑end ML models.
• Deploy and maintain services in a fully cloud‑native environment.
• Drive team adoption of enterprise‑authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
• Develop secure high‑quality production code, and review and debug code written by others.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Serve as a function‑wide subject‑matter expert in one or more areas of focus.
• Actively contribute to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Apply 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.
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies.
• Add to the team culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages.
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile).
• Demonstrated experience leading effective use of approved AI‑assisted software development tools and setting team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Practical cloud‑native experience.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred Qualifications, Capabilities, And Skills

• Proficient in Python programming for building traditional ML models and APIs.
• Good understanding of designing and deploying OpenAPI‑compliant API services.
• Good understanding of building agentic workloads using AI frameworks such as Google ADK and LLamaIndex.
• Ability to configure OAuth2‑based authentication and authorization flows for applications.
• Good understanding of OpenTelemetry and modern microservice deployment patterns.
• Good understanding of AWS services and capability to deploy high‑reliability cloud‑native workloads.
• Knowledgeable in building and debugging ML models built using supervised and unsupervised learning algorithms.

About The Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

About Us

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible employees may receive commission‑based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded in recognition of achievements. We also offer benefits and programs to meet employee needs, including comprehensive health‑care coverage, on‑site health and wellness centers, retirement savings plans, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Detailed compensation information 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 linked to our success. We are an equal‑opportunity employer and value diversity and inclusion. 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 protected characteristic. Reasonable accommodations for religious practices, mental health or physical disability needs are available. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.