Lead Software Engineer - Data - Agentic Commerce
JPMorgan Chase14 hours ago
London, United KingdomStaff+
Responsibilities
- Design, develop, troubleshoot, and deliver trusted software solutions for B2B agentic commerce.
- Own production agents covering orchestration, negotiation, supplier onboarding, and outreach.
- Build training, testing, optimization, prediction, and serving paths for production ML models on Kubernetes.
- Design deterministic services and agent workflows for pricing, eligibility, and policy decisions.
- Develop, review, debug, and maintain secure, high-quality production code.
- Establish agent and model evaluation and observability through regression suites, scoring, traces, and performance monitoring.
- Prepare agents and models for model risk review with documentation, test evidence, and controls.
- Lead adoption of approved AI-assisted engineering tools and improve software delivery automation.
- Identify and automate remediation of recurring operational issues.
- Lead technical evaluation sessions with vendors, startups, and internal teams.
Requirements
- Formal training or certification in software engineering concepts.
- Hands-on experience with system design, application development, testing, and operational stability.
- Advanced Python proficiency and proficiency in at least one additional language such as Java or TypeScript.
- Experience shipping LLM-based applications or agents to production, including tool calling, retrieval, and evaluation.
- Experience productionizing ML models through training pipelines, model registries, model CI/CD, and API serving.
- Experience leading effective use of approved AI-assisted software development tools.
- Understanding of responsible AI engineering practices, data sensitivity, and secure data handling.
- Proficiency across the Software Development Life Cycle and agile delivery practices.
- Advanced understanding of application resiliency, security, and CI/CD.
- In-depth knowledge of financial services and IT systems.
- Practical cloud-native experience with Kubernetes, Amazon EKS, micro-VM isolation, sidecar patterns, and multilayer security.
- Preferred experience with Google ADK, LangGraph, MCP, A2A, AG-UI, Databricks, MLflow, Spark, Delta Lake, Apache Iceberg, GPU workloads, fine-tuned small language models, optimization or pricing models, fine-grained authorization, and OpenTelemetry.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.