Overview
In this role you will design and deliver trusted technology for B2B agentic commerce within J.P. Morgan’s Commercial & Investment Bank. You will own end-to-end production agents, from negotiation and onboarding to ML model workflows, driving secure, scalable solutions that advance AI-powered payments. You’ll collaborate with cross-functional teams to improve delivery speed and code quality while shaping innovative payment technology. This is a high-impact opportunity to influence how clients access and use payments technology at scale.
Responsibilities
- Own and design production agents—including orchestration, negotiation, supplier onboarding, and outreach
- Develop production paths for optimization and prediction models (training, automated testing, and serving on Kubernetes)
- Create deterministic agent workflows for pricing, eligibility, and policy decisions
- Write secure, high-quality production code and perform code reviews
- Establish evaluation and observability for agents and models (regression suites, scoring, traces, performance monitoring)
- Prepare agents and models for model risk review with documentation and controls
- Promote enterprise-approved AI-assisted engineering practices to improve quality and speed
- Leverage SDLC tools to enhance automation
- Identify opportunities to automate recurring issues
- Lead evaluation sessions with external vendors, startups, and internal teams to assess designs and credentials
Key requirements
- Formal training or certification in software engineering concepts
- Hands-on experience delivering system design, development, testing, and operational stability
- Advanced proficiency in Python and proficiency in another language (e.g., Java, TypeScript)
- Experience shipping LLM-based applications or agents to production (tool calling, retrieval, evaluation)
- Experience productionizing ML models (training pipelines, model registries, CI/CD for models, API serving)
- Demonstrated experience using AI-assisted software development tools
- Strong understanding of responsible AI use in engineering workflows
- Proficiency across the Software Development Life Cycle
- Advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security)
- Knowledge of the financial services industry and IT systems
- Practical cloud-native experience
- Proficiency with Kubernetes and Amazon EKS, micro-VM isolation, sidecar patterns, with multi-layer security
- collaboration
- problem-solving
- communication
- Python
- Java
- TypeScript
Lead Software Engineer - Data - Agentic Commerce in London employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
