Lead Software Engineer - Machine Learning

Salary: $61,000 - 101,000 per year Requirements:

• We bring formal training or certification in software engineering concepts and at least 5 years of applied experience.
• We have hands-on experience across system design, application development, testing, and operational stability.
• We are advanced in one or more programming languages.
• We have strong, in-depth knowledge of software applications and technical processes, with deep expertise in at least one technical area such as cloud, artificial intelligence, machine learning, or mobile.
• We have demonstrated experience leading the effective use of approved AI-assisted software development tools and setting expectations for validating AI outputs for correctness, performance, and security.
• We understand responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resilience and security requirements, and we can coach engineers on compliant adoption.
• We can solve design and functionality challenges independently with minimal oversight.
• We have practical cloud-native experience.
• We have experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
• We are proficient in Python for building traditional ML models and APIs.
• We understand how to design and deploy OpenAPI-compliant API services.
• We understand how to build agentic workloads using AI frameworks such as Google ADK and LlamaIndex.
• We can configure OAuth2-based authentication and authorization flows for applications.
• We understand OpenTelemetry and modern microservice deployment patterns.
• We have knowledge of AWS services and can deploy highly reliable cloud-native workloads.
• We are knowledgeable in building and debugging ML models using supervised and unsupervised learning algorithms.

• We provide technical guidance and direction to support the business, technical teams, contractors, and vendors.
• We deploy and serve end-to-end machine learning models.
• We build and maintain services in a fully cloud-native environment.
• We promote the use of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• We develop secure, high-quality production code and review and debug code written by others.
• We influence product design, application functionality, and technical operations and processes.
• We serve as a subject matter expert in one or more areas of focus.
• We contribute actively to the engineering community and advocate firmwide software development lifecycle frameworks, tools, and practices.
• We apply software development lifecycle toolchain knowledge, including AI-assisted development and automation capabilities, to increase automation value.
• We influence peers and project decision-makers to adopt leading-edge technologies.
• We help foster a culture of diversity, opportunity, inclusion, and respect.

• AI
• API
• AWS
• Cloud
• Support
• Machine Learning
• Mobile
• OpenAPI
• OpenTelemetry
• Python
• Security

More:

We are collaborating with J.P. Morgan to hire a Lead Software Engineer for our Commercial and Investment Bank Payments Technology team. This is an opportunity to shape trusted, market-leading technology in an agile environment where we build secure, stable, and scalable solutions. J.P. Morgan Chase is a global financial leader with over 200 years of history, serving consumers, small businesses, corporations, institutions, and government clients across banking, markets, securities services, payments, and asset management. We offer a competitive total rewards package, and eligible roles may include commission, discretionary incentive compensation, and benefits such as health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are committed to diversity, inclusion, and equal opportunity, and we value reasonable accommodations where needed.

last updated 40 week of 2026