Lead Software Engineer - Data - Agentic Commerce

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Payments Technology to design, develop, and deliver trusted technology products for B2B agentic commerce. You will own major components end-to-end, including multi-agent negotiation, onboarding, ML workflows, and production deployment on Kubernetes.

You will drive secure, scalable solutions, foster collaboration, and advance AI-powered payments while ensuring responsible AI practices across the SDLC and CI/CD pipelines.

Qualifications

• Advanced proficiency in Python with additional language skills (e.g., Java, TypeScript).
• Experience shipping LLM-based apps or agents to production.
• Hands-on system design, app dev, testing, and operations.

Responsibilities

• Design, develop, and deliver production agents and ML workflows.
• Own orchestration, negotiation, onboarding, and outreach for agents.
• Build production paths for training, testing, and serving models on Kubernetes.

Skills

Python

Java

TypeScript

Kubernetes

AI/ML workflows

CI/CD

Education

Bachelor's degree in Computer Science

Tools

Databricks

MLflow

Spark

Delta Lake

Job description

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.

Key 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
• 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

Why Join Us

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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.