Lead Software Engineer - Machine Learning

慨正橡扯; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase's Commercial & Investment Bank Payments Technology team seeks a Lead Software Engineer who will contribute as a core technical member, driving secure, scalable technology across multiple domains and business functions. You will guide teams, deploy ML models, and advance AI-assisted development practices.

The role emphasizes cloud-native delivery, responsible AI, and engineering leadership to improve code quality, speed, and reliability within a dynamic, globally distributed

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on experience delivering system design, app development, testing, and operational stability.
• Advanced proficiency in one or more programming languages.
• Advanced knowledge of cloud, AI, ML, mobile, or related technical disciplines.
• Experience leading the use of AI-assisted development tools with secure validation standards.

Responsibilities

• Provide technical guidance to teams, contractors, and vendors.
• Deploy and serve end-to-end ML models in a cloud-native environment.
• Drive enterprise AI-assisted engineering practices to improve quality and speed.
• Develop secure, high-quality production code and review others' code.

Skills

Programming languages

Cloud native

AI/ML frameworks

Software design

Security & compliance

Education

Computer Science / Math / Engineering degree

Tools

OpenAPI

OAuth2

OpenTelemetry

LLamaIndex

AWS

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. You are a core technical contributor 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 provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Deploy and serve 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 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.
• Develop secure and high‑quality production code, and review and debug code written by others.
• Drive decisions that influence the 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 applied experience.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming language(s).
• 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, etc.).
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set 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 ability 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.

Equity & Diversity Statement

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