Senior Lead Software and Data Engineer - Agentic Commerce

Aumni; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer in Payments Technology in London to set the architecture for B2B agentic commerce and ML models, guiding the team toward secure, scalable production systems. You will integrate AI and automation while partnering with cross‑functional teams to deliver resilient technology products.

The role emphasizes leadership in MLOps, security, and SDLC best practices, with collaboration across platform, product, and risk groups to enable

Qualifications

• Formal training or certification in software engineering concepts with advanced applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficiency in Python as a core language.
• Architect and ship production LLM agents or multi-agent systems.
• Design end-to-end ML platforms or MLOps pipelines.
• Expertise in secure distributed systems, including identity, authorization, and service-to-service trust.

Responsibilities

• Set technical direction and reference architecture for B2B agentic commerce, including multi‑agent topology and agent-to-agent communication
• Design information barriers and authorization for agents acting on behalf of different counterparties, ensuring secure and isolated execution
• Define MLOps architecture for agent tools, covering training, environment promotion, model registry, serving, monitoring, and retraining cadence
• Establish engineering standards for agent quality and safety, including evaluation frameworks, guardrails, and model risk approval evidence
• Execute creative software solutions, design, development, and technical troubleshooting beyond conventional approaches
• Develop secure, high‑quality production code and review/debug code written by others
• Partner with platform, product, risk, and client‑facing teams to integrate external agents and contribute reusable capabilities
• Drive adoption of enterprise‑authorized AI‑assisted engineering practices, establishing validation standards and promoting reuse
• Apply knowledge of the Software Development Life Cycle toolchain, including AI‑assisted development and automation
• Identify opportunities to eliminate or automate remediation of recurring issues for operational stability
• Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical credentials

Skills

Python

LLM agents

MLOps pipelines

Secure distributed systems

CI/CD

Agile methodologies

Kubernetes

OpenFGA / OPA

Tools

Databricks

MLflow

Kubernetes

OpenFGA

OPA

Job description

Join us to shape the future of agentic commerce and machine learning at a global scale. You’ll have the opportunity to set technical direction, influence engineering culture, and deliver impactful solutions that power secure transactions for buyers and suppliers worldwide. We value creativity, collaboration, and a passion for building technology that makes a difference. At JPMorganChase, your expertise will help us push the boundaries of what’s possible and foster your career growth.

As a Senior Lead Software Engineer in Payments Technology within the Commercial and Investment Bank, you will set the architecture for B2B agentic commerce agents and the ML models they rely on. You will guide the London team in building secure, scalable solutions that enable safe transactions at the scale of a global bank. Your leadership will drive technical standards, foster innovation, and ensure the delivery of high‑quality, resilient technology products. You will collaborate with cross‑functional teams to integrate advanced AI and automation practices, shaping the future of payments technology.

Job Responsibilities:

• Set technical direction and reference architecture for B2B agentic commerce, including multi‑agent topology and agent‑to‑agent communication
• Design information barriers and authorization for agents acting on behalf of different counterparties, ensuring secure and isolated execution
• Define MLOps architecture for agent tools, covering training, environment promotion, model registry, serving, monitoring, and retraining cadence
• Establish engineering standards for agent quality and safety, including evaluation frameworks, guardrails, and model risk approval evidence
• Execute creative software solutions, design, development, and technical troubleshooting beyond conventional approaches
• Develop secure, high‑quality production code and review/debug code written by others
• Partner with platform, product, risk, and client‑facing teams to integrate external agents and contribute reusable capabilities
• Drive adoption of enterprise‑authorized AI‑assisted engineering practices, establishing validation standards and promoting reuse
• Apply knowledge of the Software Development Life Cycle toolchain, including AI‑assisted development and automation
• Identify opportunities to eliminate or automate remediation of recurring issues for operational stability
• Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical credentials

Required Qualifications, Capabilities, and Skills:

• Demonstrate formal training or certification in software engineering concepts with advanced applied experience
• Apply hands‑on experience in system design, application development, testing, and operational stability
• Show advanced proficiency in one or more programming languages, with Python required
• Architect and ship production LLM agents or multi‑agent systems
• Design end‑to‑end ML platforms or MLOps pipelines
• Exhibit expertise in secure distributed systems, including identity, authorization, and service‑to‑service trust
• Lead with AI‑assisted software development tools and validate AI outputs
• Understand responsible AI use, data sensitivity, and secure engineering workflows
• Demonstrate proficiency in all aspects of the Software Development Life Cycle
• Apply advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
• Display in‑depth knowledge of financial services industry IT systems

Preferred Qualifications, Capabilities, and Skills:

• Deep experience with agent protocols and frameworks such as MCP, A2A, AG‑UI, Google ADK, or LangGraph
• Experience with agent payment and mandate patterns, or regulated workflows requiring auditable LLM output
• Experience with OpenFGA or OPA/Rego, service mesh technologies, and micro‑VM isolation
• Experience with Databricks, MLflow, and model serving on Kubernetes, including GPU capacity planning and small language model inference
• Experience with knowledge graphs, GraphRAG, or organizational memory for agents
• Experience with optimization, pricing, or negotiation models in production
• Domain knowledge of B2B payments, commercial card, supplier enablement, or treasury

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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. Drive the architecture and engineering standards for agentic commerce and ML platforms, empowering secure, scalable innovation.