AI Platform Engineer, Python, Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
54 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $211k
$173k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $192,050–$230,400.

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 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 · AI Platform Engineer, Python, Lead Software Engineer

As an AI Platform Engineer, Python - Lead Software Engineer within the Chief Data and Analytics Office, you will join an agile team focused on building and delivering secure, stable, and scalable technology products. You will serve as a core technical contributor responsible for designing, developing, and troubleshooting high-quality production code for AI-enabled applications. Your daily work involves implementing input/output safety guardrails, managing LLM usage logging, and integrating SDKs or REST services using platforms like Bedrock, Foundry, or Vertex AI. You will lead communities of practice regarding prompt engineering and advocate for AI-assisted engineering practices to improve delivery speed. Required skills include advanced Python proficiency, cloud-native experience, CI/CD pipelines, containerization, and infrastructure as code. You will solve complex problems related to model safety, integration patterns, and automated remediation of recurring issues in AI features.

What you'll do

  • Design, develop, and troubleshoot technical solutions for AI-enabled applications.
  • Write secure, high-quality production code while debugging SDK and service integrations.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and quality.
  • Automate the remediation of recurring issues to improve the reliability of AI features.
  • Lead evaluation sessions with vendors and internal teams regarding model capabilities and safety.
  • Lead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.
  • Build and ship AI-powered features using platforms like Bedrock, Foundry, or Vertex AI.
  • Implement input/output safety guardrails and comprehensive LLM usage logging and monitoring.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Advanced proficiency in Python software engineering.
  • Experience with DevOps practices including CI/CD pipelines, infrastructure as code, containerization, and cloud platforms.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Demonstrated experience leading the use of AI-assisted software development tools for coding, review, and troubleshooting.
  • Strong understanding of responsible AI usage, including data sensitivity, security, and compliance in engineering workflows.
  • Proficiency in all aspects of the Software Development Life Cycle and secure coding practices.

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