Join us to shape the future of payments technology and agentic commerce. You will have the opportunity to build impactful solutions, collaborate with talented teams, and advance your career in a dynamic environment. We value creativity, inclusivity, and continuous learning, empowering you to push boundaries and deliver market-leading products. Experience the excitement of working with cutting-edge AI and ML tools while making a difference in the financial industry.
As a Lead Software Engineer in Payments Technology within the Commercial and Investment Bank, you will play a pivotal role in designing, developing, and delivering trusted technology products. You will own major components of our B2B agentic commerce agents end to end, from multi-agent negotiation and onboarding to production ML model workflows. You will help drive secure, stable, and scalable solutions, foster a collaborative team culture, and contribute to the advancement of AI-powered payments. Your expertise will directly impact our technology and the clients we serve.
Job Responsibilities:
- Execute creative software solutions, design, development, and technical troubleshooting
- Own the design and delivery of production agents, including orchestration, negotiation, supplier onboarding, and outreach
- Build production paths for optimization and prediction models, including training, automated testing, and serving on Kubernetes
- Design agent workflows that ensure pricing, eligibility, and policy decisions remain in deterministic services
- Develop secure, high-quality production code and review and debug code written by others
- Establish evaluation and observability for agents and models, including regression suites, scoring, traces, and performance monitoring
- Prepare agents and models for model risk review, producing documentation, test evidence, and controls
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed
- Apply knowledge of tools within the Software Development Life Cycle toolchain to enhance automation
- Identify opportunities to eliminate or automate remediation of recurring issues
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts
- Hands-on experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in Python and proficiency in one or more additional languages (e.g., Java, TypeScript)
- Experience shipping LLM-based applications or agents to production, including tool calling, retrieval, and evaluation
- Experience productionizing ML models, including training pipelines, model registries, CI/CD for models, and serving behind APIs
- Demonstrated experience leading effective use of approved AI-assisted software development tools
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
- Proficiency in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and IT systems
- Practical cloud native experience
- Proficiency with Kubernetes and Amazon EKS, micro-VM isolation, and sidecar patterns, with hands-on experience applying security at multiple layers
Preferred Qualifications, Capabilities, and Skills:
- Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI)
- Experience with Databricks, MLflow, Spark, and Delta Lake or Apache Iceberg
- Experience serving models on Kubernetes, including GPU workloads and fine-tuned small language models
- Experience with optimization or pricing models and exposing them as services
- Experience with fine-grained authorization and OpenTelemetry
Skills Required
- Formal training or certification in software engineering concepts
- Hands-on experience with system design, application development, testing, and operational stability
- Advanced proficiency in Python and proficiency in at least one additional programming language, such as Java or TypeScript
- Experience shipping LLM-based applications or agents to production, including tool calling, retrieval, and evaluation
- Experience productionizing machine learning models, including training pipelines, model registries, model CI/CD, and API serving
- Experience leading effective use of approved AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, and secure data handling
- Proficiency across the software development life cycle
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- In-depth knowledge of financial services and IT systems
- Practical cloud-native experience
- Proficiency with Kubernetes and Amazon EKS, micro-VM isolation, and sidecar patterns, including multi-layer security
- Experience with agent frameworks and protocols such as Google ADK, LangGraph, MCP, A2A, or AG-UI
- Experience with Databricks, MLflow, Spark, Delta Lake, or Apache Iceberg
- Experience serving models on Kubernetes, including GPU workloads and fine-tuned small language models
- Experience with optimization or pricing models and exposing them as services
- Experience with fine-grained authorization and OpenTelemetry
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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