Senior Lead Software Engineer, Agentic AI

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Plano, TX
Posted
52 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $210k
$149k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $173,400–$246,150.

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 · Senior Lead Software Engineer, Agentic AI

As a Senior Lead Software Engineer - Agentic AI/Java/Python within the Consumer & Community Banking division, you will design and build critical technology solutions for Chase AI components including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. You will develop high-quality production code, create architecture artifacts, and analyze large datasets to improve system performance. The role involves building agentic systems using LLMs/SLMs, maintaining MCP servers, and developing services using Java with Spring Boot or Python with FastAPI/Flask. Technical requirements include AWS expertise (ECS, EKS, Docker), CI/CD pipelines, REST/OpenAPI, gRPC, and observability tools like Splunk and Prometheus. You will also lead the adoption of AI-assisted engineering practices while ensuring security, privacy, and regulatory compliance for complex systems involving RAG, function calling, and distributed orchestration patterns in a financial services context.

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 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 MCP servers with compatible tools/adapters.
  • 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 pipelines.
  • Strong API design skills (REST/OpenAPI, gRPC) and familiarity with observability stacks like Splunk 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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