AI Engineer, Software Engineer III

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJWilmington, DE
Salary
$133,000–$185,000 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $159k
$121k most similar roles pay here $241k

This role pays less than 78% of similar roles. Most pay $162,000–$229,175 — the shaded band above. At the midpoint, this role pays about $159k versus about $196k 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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · AI Engineer, Software Engineer III

Role Posting Log in to save

As a Software Engineer III at JPMorgan Chase within Enterprise Technology, you will join a team dedicated to building scalable AI platforms and large language model services for enterprise use cases. Your responsibilities include designing and implementing cloud-native services on AWS, optimizing system performance, and ensuring secure API integrations. You will work closely with engineering and product teams to translate requirements into resilient deliverables, contributing to technical standards through code reviews and documentation. The role requires hands-on experience with production large language models, retrieval-augmented generation approaches, and serverless architectures on AWS. Proficiency in Kubernetes-based platforms, experimentation frameworks, and cost governance techniques is also essential for this high-impact position focused on reliable automation and decision support across the firm.

Skills

AWS Kubernetes Python Docker CI/CD Prometheus Grafana Terraform APIs SQL Java Git Linux Scalability Security Observability

What you'll do

  • Design and implement scalable agentic AI platforms for enterprise use.
  • Build production-grade AI systems including agents, skills, and memory patterns.
  • Engineer cloud-native services on AWS using containers and serverless compute.
  • Optimize large language model workloads for latency, throughput, and cost efficiency.
  • Develop secure APIs and integrations connecting AI capabilities to enterprise workflows.
  • Implement evaluation and observability signals to improve system quality over time.
  • Contribute to technical standards through design reviews and peer code reviews.

What we're looking for

  • Hands-on experience building and operating production large language model applications.
  • Strong software engineering skills with AWS cloud-native service delivery using containers and serverless architectures.
  • Experience with retrieval-augmented generation, embeddings, semantic search, and context engineering.
  • Proficiency in building secure, reliable APIs and integrations for AI capabilities.
  • Ability to establish evaluation, testing, and monitoring practices for AI system quality.
  • Troubleshooting skills across distributed systems, including asynchronous workflows and event-driven architectures.
  • Experience deploying workloads on Kubernetes-based platforms and implementing guardrail patterns.

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