Senior Lead Software Engineer, AI Development

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
Columbus, OHPlano, TX
Employment
Full-time
Posted
42 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $182k
$112k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$213,275.

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 1262 open roles on FindRole.

Listed pay typically runs $150,433–$215,000 across 11 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, AI Development

As a Senior Lead Software Engineer - AI Development | Engineering Services & Platforms, you will join an agile team within the Chief Technology Office to build foundational infrastructure for managing software dependency risk. You will take end-to-end ownership of designing, building, and deploying core platform capabilities, including data ingestion pipelines, dependency analysis services, and developer-facing features. Your daily work involves writing production-quality Java on AWS using services like Lambda, S3, and RDS. You will leverage AI and agentic development tools to create secure code, perform code reviews, and drive the adoption of approved AI-assisted engineering practices. This role addresses the critical business problem of ensuring that open-source and commercial packages remain healthy, secure, and compliant across a large-scale enterprise software ecosystem.

What you'll do

  • Take end-to-end ownership of software products from initial design through deployment and production support.
  • Build and scale core platform capabilities including data ingestion pipelines and dependency analysis services.
  • Write production-quality Java code for services, APIs, and data pipelines on AWS.
  • Use AI and agentic development tools to develop, review, and debug secure production code.
  • Drive the adoption and governance of approved AI-assisted engineering practices across engineering teams.
  • Influence product design, application functionality, and technical operations through high-level decision-making.
  • Serve as a subject matter expert on firmwide frameworks and Software Development Life Cycle tools.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Advanced proficiency in Java.
  • Hands-on experience delivering data-intensive system design, application development, testing, and operational stability.
  • Experience building core platform capabilities including data ingestion pipelines and dependency analysis services.
  • Practical cloud-native experience with AWS services like Lambda, S3, and RDS.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and validating AI outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and security.
  • Experience with Greenfield architecture (preferred).
  • Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments (preferred).
  • Experience working in highly regulated environments with strong model risk, governance, or control expectations (preferred).
  • Experience designing scalable system architectures for AI products and platforms across multiple stakeholder groups (preferred).

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