Lead AI Engineer: Agentic Systems (Java/Python)

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. invites a Lead Software Engineer to design and implement scalable agentic systems within the Consumer & Community Banking division. You will shape architecture, ensure security and compliance, and drive AI-assisted practices across teams.

The role emphasizes hands-on development in Java/Python, AWS, and Spring or FastAPI, with a focus on reliable production services, observability, and data-driven improvements.

Qualifications

• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
• Proficient in coding in one or more languages: Java and/or Python
• Proficiency building production services with either Spring AI or the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging
• Solid AWS background with working knowledge of ECS or EKS, containerization (Docker), and CI/CD (GitHub Actions/Jenkins/CodeBuild)
• Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry)
• Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context windows, token budgeting, and safety guardrails
• Strong testing culture: unit/integration tests, load tests, and evaluation datasets for agents
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• Creates secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Adopts and learn new technologies that positively impact agentic solutions.
• Collaborates with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
• Ensures compliance with security, privacy, and regulatory requirements in all software solutions.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Software eng

LLMs/SLMs

Java or Python

AWS

Spring Framework

REST API design

CI/CD

AI-assisted tools

Responsible AI

Security & compliance

Tools

MCP servers

Docker

Kubernetes

GitHub Actions

Jenkins

CodeBuild

OpenTelemetry

Prometheus

Grafana

Spring Boot

FastAPI/Flask

OpenAPI

Job description

JPMorgan Chase & Co. invites a Lead Software Engineer to design and implement scalable agentic systems within the Consumer & Community Banking division. You will shape architecture, ensure security and compliance, and drive AI-assisted practices across teams.

The role emphasizes hands-on development in Java/Python, AWS, and Spring or FastAPI, with a focus on reliable production services, observability, and data-driven improvements.