Principal Software Engineer, Core AI Platform

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Posted
10 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $203k
$127k most similar roles pay here $291k

This listing doesn't post a salary. Most similar roles pay $174,600–$231,000.

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 · Principal Software Engineer, Core AI Platform

As a Principal Software Engineer- Core AI Platform, you will join the Core AI Infrastructure Platform team to design and promote a shared ecosystem that unifies training and inference pipelines across hybrid-cloud and Neo-cloud environments. You will architect solutions to enhance reliability and scalability while building reusable platform services, APIs, SDKs, agents, and libraries to standardize how teams consume model hosting and managed services. Your daily work involves managing non-functional requirements like observability, security controls, and cost optimization while establishing reference architectures for operational readiness. You will utilize Python to deliver production-grade services and leverage AI-assisted development tools. The role focuses on solving complex infrastructure challenges by building the foundational tech stack required to deploy large-scale AI models into production environments while ensuring responsible AI usage and robust system design across distributed systems.

What does a Software Engineer earn in Washington?

Median $202800 from 326 postings across 28 companies.

See salary data

What you'll do

  • Architect and design scalable solutions to enhance the reliability of AI/ML platforms and applications.
  • Build reusable platform services, APIs, SDKs, and libraries to standardize how teams consume model hosting and inference.
  • Implement AI Foundation Services capabilities to unblock use cases from technical design through production launch.
  • Manage non-functional requirements including observability, security controls, infrastructure management, and cost optimization.
  • Establish and enforce standards for reliability, automation, and operational readiness across all services.
  • Participate in on-call rotations to debug complex production issues and drive durable remediation of systemic gaps.
  • Mentor engineers and improve engineering quality, documentation, and operational rigor across the team.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 10+ years of applied experience in software engineering.
  • Strong hands-on coding experience in Python for delivering production-grade services.
  • Experience leading the use of AI-assisted development tools while ensuring output correctness and security.
  • Understanding of responsible AI practices, including data sensitivity and secure handling of inputs/outputs.
  • Practical experience with system design, automated testing, debugging, and operational stability for production software.
  • Experience implementing observability, logging, metrics, alerts, SLOs, and incident response for services in production.
  • Knowledge of cloud platforms, distributed systems, or infrastructure engineering.

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