Lead Software Engineer, Agentic AI

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Plano, TX
Posted
7 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $207k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$222,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Agentic AI

Lead Software Engineer - Agentic AI/Java/Python will join the Consumer & Community Banking division to design and build critical technology solutions for Chase AI components, including Agent Operating Memory, Domain Agents, and Agentic Experience Service. The role involves developing high-quality production code, creating architecture artifacts, and troubleshooting complex problems while driving team adoption of AI-assisted engineering practices. You will manage large datasets to improve system architecture and ensure compliance with security and regulatory requirements. Key technologies include Java, Python, Spring Boot, FastAPI, and AWS services like ECS or EKS. The position requires expertise in LLM patterns such as RAG, function calling, and prompt management, alongside experience with Docker, CI/CD pipelines, and REST or gRPC APIs. You will solve complex problems related to agentic systems, distributed orchestration, and secure integration within the financial services domain.

What you'll do

  • Design and build critical technology solutions for Chase AI components including agentic experience services and assurance systems.
  • Develop secure, high-quality production code and maintain algorithms that run synchronously with enterprise systems.
  • Create architecture and design artifacts for complex applications while ensuring all technical constraints are met.
  • Analyze large, diverse datasets to identify hidden patterns and drive improvements in coding hygiene and system architecture.
  • Drive team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Implement LLM patterns such as RAG, function calling, and prompt management while ensuring safety guardrails.
  • Ensure all software solutions comply with strict security, privacy, and financial regulatory requirements.
  • Manage the full software development lifecycle using automated tools and CI/CD pipelines to enhance delivery value.

What we're looking for

  • 5+ years of software engineering experience, including 2+ years building complex scalable applications or agentic systems.
  • Hands-on experience building agentic systems using LLMs/SLMs and setting up/maintaining MCP servers.
  • Proficiency in coding in Java and/or Python.
  • Experience building production services with Spring ecosystem (Spring Boot, Security, Cloud) or Python (FastAPI/Flask).
  • Solid AWS background including ECS or EKS, Docker containerization, and CI/CD tools like GitHub Actions, Jenkins, or CodeBuild.
  • Strong API design skills (REST/OpenAPI, gRPC) and familiarity with observability stacks like Splunk, CloudWatch, or Prometheus.
  • Practical understanding of LLM patterns such as RAG, function calling, prompt management, and safety guardrails.
  • Demonstrated experience leading the use of AI-assisted development tools and ensuring responsible AI practices in engineering workflows.

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