Are you ready to push the boundaries of what’s possible in payments technology? At JPMorganChase, you’ll join a collaborative team where your ideas drive real impact. You’ll have the opportunity to grow your career, work with cutting-edge AI and machine learning, and help deliver trusted, market-leading products. We value diversity, inclusion, and continuous learning—your contributions matter here.
As a Software Engineer III in Payments Technology within the Commercial and Investment Bank, you will design, build, and deliver secure, scalable agentic commerce solutions. You’ll work on B2B agent platforms that negotiate, onboard, and communicate with corporate suppliers, as well as the data and machine learning pipelines that power these agents. You will contribute to NEO, our governed agent platform, and help shape the future of payments technology. You’ll be part of an agile team that values innovation, collaboration, and operational excellence.
Job Responsibilities:
- Execute software solutions, design, development, and technical troubleshooting for agent components, including orchestration logic, agent tools, and task queues for autonomous workflows
- Build and maintain MCP (Model Context Protocol) servers that provide agents secure access to CRM, supplier directory, and payments data sources
- Develop secure, high-quality production code in Python, and review and debug code written by others
- Build data pipelines and feature engineering jobs on Databricks to prepare payments data for model training and agent retrieval
- Contribute to the MLOps path for optimization and prediction models, including training jobs, automated tests, and promotion of model artefacts from development through UAT to production
- Write evaluations for agent behaviour (offline test sets, regression suites in CI/CD, LLM-as-judge checks) and instrument services with OpenTelemetry tracing
- Apply enterprise-authorized AI-assisted development tools to improve code quality and delivery speed, validating AI outputs for correctness, performance, and security
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of agents and model services
- Foster a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts and applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficiency in Python and coding in one or more additional languages (e.g., Java, TypeScript, SQL)
- Experience building and consuming APIs and event-driven services in a cloud environment
- Experience with data processing frameworks such as Apache Spark and working with large structured datasets
- Working knowledge of LLM-based application development, including prompting, tool calling, retrieval, and evaluation
- Experience using approved AI-assisted software development tools, with sound judgement on validating outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
- Practical cloud native experience (AWS preferred), including containers and Kubernetes
Preferred Qualifications, Capabilities, and Skills:
- Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI
- Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg
- Exposure to model serving on Kubernetes and to model monitoring (drift, latency, accuracy)
- Familiarity with CRM platforms such as Salesforce and their APIs
- Exposure to payments, commercial card, or supplier onboarding (KYC) processes
- Familiarity with Terraform and infrastructure as code
Skills Required
- Formal training or certification in software engineering concepts
- Practical experience in system design, application development, testing, and operational stability
- Proficiency in Python
- Coding experience in one or more additional languages, such as Java, TypeScript, or SQL
- Experience building and consuming APIs and event-driven services in a cloud environment
- Experience with Apache Spark or similar data processing frameworks and large structured datasets
- Working knowledge of LLM-based application development, including prompting, tool calling, retrieval, and evaluation
- Experience using approved AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, and secure handling of inputs and outputs
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Practical cloud-native experience, preferably AWS, including containers and Kubernetes
- Experience with agent frameworks such as Google ADK or LangGraph
- Experience with agent protocols such as MCP, A2A, or AG-UI
- Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg
- Exposure to model serving on Kubernetes and model monitoring
- Familiarity with CRM platforms such as Salesforce and their APIs
- Exposure to payments, commercial card, or supplier onboarding processes
- Familiarity with Terraform and infrastructure as code
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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