Lead AI Engineer for Agentic Systems (Java/Python)

JPMorganChase

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

JPMorgan Chase, a leading financial services firm, seeks a Lead Software Engineer within its Consumer & Community Banking division to design and build critical technology across Chase AI components.

You will work with cross-functional teams to deliver end-to-end solutions, ensuring secure, scalable software while shaping the adoption of enterprise AI practices and maintaining regulatory compliance.

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 Java and/or Python.
  • Proficiency building production services with Spring AI or the Spring ecosystem, or Python with FastAPI/Flask.
  • Solid AWS background with ECS or EKS, containerization (Docker), and CI/CD.
  • Strong API design skills (REST/OpenAPI; gRPC and observability stacks).
  • Practical understanding of LLM patterns: function calling/tools, RAG, prompt management.
  • Strong testing culture: unit/integration tests, load tests, evaluation datasets for agents.
  • Demonstrated experience leading AI-assisted software development tools; setting team expectations for validating AI outputs.
  • Strong understanding of responsible AI use in engineering workflows.

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.
  • Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.

Skills

Java
Python
LLMs/SLMs
Spring Framework
Spring Boot
AWS
Docker
CI/CD
REST/OpenAPI
gRPC
Security
Observability

Tools

Spring AI
ECS
EKS
Docker
GitHub Actions
Jenkins
CodeBuild
OpenTelemetry
Splunk
CloudWatch
Kubernetes

Job description

JPMorgan Chase, a leading financial services firm, seeks a Lead Software Engineer within its Consumer & Community Banking division to design and build critical technology across Chase AI components.

You will work with cross-functional teams to deliver end-to-end solutions, ensuring secure, scalable software while shaping the adoption of enterprise AI practices and maintaining regulatory compliance.

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