Lead Software Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJPalo Alto, CAWilmington, DE
Salary
$152,000–$215,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $184k
$142k most similar roles pay here $246k

This role pays less than 63% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $184k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

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 394 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 207 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer at JPMorganChase in Enterprise Technology, you will lead the architecture and implementation of scalable large language model systems for enterprise use cases using LLM Suite. Your day-to-day responsibilities include designing cloud-native solutions on AWS, establishing evaluation standards, and driving technical decisions to enhance reliability and developer velocity. You will work closely with product and engineering teams to build production-grade AI systems, optimize platform performance, and create well-governed APIs that integrate AI capabilities into enterprise workflows. The role requires expertise in architecting distributed systems, building retrieval-augmented generation solutions, and implementing evaluation frameworks for model quality. Proficiency in AWS services, Kubernetes, and strong API design skills are essential, along with experience in privacy and data minimization practices in regulated environments.

What you'll do

  • Lead architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
  • Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
  • Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores.
  • Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
  • Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior.

What we're looking for

  • Experience leading architecture and delivery of scalable, reliable agentic AI platforms for enterprise use.
  • Proficient in designing and building production-grade AI systems using AWS cloud-native services.
  • Strong background in architecting distributed systems with asynchronous workflows and durable messaging patterns.
  • Expertise in evaluation frameworks, experimentation platforms, and observability standards for AI systems.
  • Demonstrated ability to design secure APIs and integrate AI capabilities into enterprise platforms securely.
  • Proven technical leadership skills including mentoring senior engineers and driving architecture decisions.
  • Familiarity with privacy, data minimization, and safe AI guardrail patterns in regulated environments.

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