Senior Lead Software and Data Engineer - Agentic Commerce

JPMorgan Chase & Co.
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

LangGraph Framework Agile Methodology Artificial Intelligence Continuous Integration Software Debugging Distributed Systems Graph Database Python (Programming Language) Software Engineering Software Systems Toolchain Large Language Models
+12 more
Multi-Agent Systems AI Coding Agents Agentic-AI Kubernetes Information Technology Production Code Machine Learning Operations Model Registry Graph RAG Databricks Programming Languages Agent2Agent Protocol

Job description

  • 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

Requirements

  • 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

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmc.fa.oraclecloud.com
Prepare application

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