Senior Principal Software Engineer, Applied AI Engineering

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJPalo Alto, CA
Salary
$232,750–$325,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $279k
$123k most similar roles pay here $347k

This role pays more than 92% of similar roles. Most pay $169,175–$233,075 — the shaded band above. At the midpoint, this role pays about $279k versus about $201k for comparable roles.

Based on 239 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 429 open roles on FindRole.

Listed pay typically runs $142,500–$201,000 across 218 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Principal Software Engineer, Applied AI Engineering

Role Posting Log in to save

As a Senior Principal Software Engineer at JPMorgan Chase within the Commercial and Investment Bank Payments Technology team, you will lead the execution of an AI-native software development lifecycle (SDLC) and product delivery lifecycle (PDLC), focusing on embedding AI into production workflows to enhance developer productivity, quality, and security. Your daily responsibilities include operationalizing agentic patterns and toolchains, ensuring responsible AI practices in production, and partnering with application development leaders to identify high-impact use cases and scale adoption. You will also manage multiple technical areas and collaborate across departments to achieve firm-wide technology objectives. The role requires deep expertise in AI/LLMs, hands-on experience with agentic systems, and proficiency in cloud-native ecosystems like AWS services (EKS, Glue, S3), secure SDLC practices, and API-first production design patterns.

Skills

AI/LLMs AWS EKS Glue S3 MCP A2A CI/CD Python PostgreSQL Kubernetes Terraform Prometheus Grafana Docker GitOps API-first Secure SDLC Vulnerability Management

What you'll do

  • Lead execution of AI-native SDLC and PDLC models across phases.
  • Operationalize agentic patterns, including LLM orchestration and toolchain integration.
  • Ensure responsible AI practices in production for guardrails and monitoring.
  • Identify high-impact use cases with App Dev leaders to scale adoption.
  • Translate engineering workflows into AI-enabled capabilities reducing developer toil.

What we're looking for

  • Deep expertise in AI/LLMs and their application to software engineering workflows.
  • Hands-on experience with agentic systems, tool/skill orchestration, and integration patterns.
  • Proven ability to lead cross-functional engineering delivery amid ambiguity and roadmap definition.
  • Strong communication skills for executive-level stakeholder management and business outcome translation.
  • Experience leading complex projects supporting system design, testing, and operational stability.
  • Familiarity with modern data architectures, sharing patterns, and cost optimization.
  • Expertise in secure SDLC practices, developer security tooling, and vulnerability management.

Related searches

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