Senior Lead Software and Data Engineer - Agentic Commerce Job London area,Greater London England UK,Software Development

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 JPMorgan

Chase, 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 counter parties, 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 Lang Graph
Experience with agent payment and mandate patterns, or regulated workflows requiring auditable LLM output
Experience with OpenFGA or OPA/Rego, service mesh…