Software Engineer III - Data - Agentic Commerce

JPMorgan Chase & Co.; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase in London is seeking a Software Engineer III in Payments Technology within the Commercial and Investment Bank.

You will design, build, and deliver secure, scalable agentic commerce solutions for B2B platforms and the data pipelines powering AI-driven payments You'll join an agile team that values innovation, collaboration, and operational excellence, working on MCP servers, Databricks data workflows, MLOps, and responsible AI practices to ensure quality and security across the

Qualifications

• Formal training or certification in software engineering concepts
• Hands-on system design, development, testing, and operability
• Proficiency in Python and other languages (Java/TypeScript/SQL)
• Experience building & consuming APIs and event-driven services in cloud
• Experience with Spark and large structured datasets
• Experience with LLM-based app development and tools
• Knowledge of responsible AI in engineering workflows
• Experience with CI/CD, resilience, and security
• Cloud-native experience (AWS preferred), including containers & Kubernetes

Responsibilities

• Execute software solutions for agent components and orchestration logic
• Build MCP servers for secure CRM, supplier data access
• Develop production-grade Python code and review others' code
• Build data pipelines on Databricks for model training
• Contribute to MLOps path for training, tests, and model promotion
• Write evaluations for agent behaviour and instrument services
• Apply AI-assisted tools and validate outputs for quality
• Automate remediation to improve stability of agents and models
• Foster a diverse, inclusive, respectful team culture

Skills

Python

Java

TypeScript

SQL

APIs

CI/CD

Kubernetes

AWS

Spark

LLM development

Education

Formal training in software engineering concepts

Tools

Databricks

MLflow

Delta Lake

Terraform

Job description

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