Senior Lead Software and Data Engineer - Agentic Commerce

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead architecture and engineering for B2B agentic commerce and machine-learning systems in global payments. Define multi-agent architectures, authorization, information barriers, MLOps pipelines, evaluation frameworks, safety guardrails, and model-risk evidence. Develop and review secure production code, establish AI-assisted engineering standards, integrate external agents, improve operational resilience, and guide technical teams and vendors. The role requires advanced Python, production LLM agent experience, secure distributed-systems expertise, and financial-services technology knowledge.
Summary Generated by Built In

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
About UsJ.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.
About the TeamJ.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. 

Skills Required

  • Formal training or certification in software engineering concepts with advanced applied experience
  • Hands-on experience in system design, application development, testing, and operational stability
  • Advanced proficiency in one or more programming languages, including Python
  • Experience architecting and shipping production LLM agents or multi-agent systems
  • Experience designing end-to-end ML platforms or MLOps pipelines
  • Expertise in secure distributed systems, identity, authorization, and service-to-service trust
  • Experience leading AI-assisted software development and validating AI outputs
  • Understanding of responsible AI, data sensitivity, and secure engineering workflows
  • Proficiency across the Software Development Life Cycle
  • Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
  • In-depth knowledge of financial services industry IT systems
  • 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, Kubernetes model serving, 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

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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