Lead AI Platform Architect & Senior Software Engineer

JPMorganChase; Jersey City (NJ); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase is seeking a Lead Software Engineer to join their Enterprise Technology division. You will lead the architecture and implementation of scalable AI platforms while designing cloud-native solutions that enhance reliability and efficiency. The ideal candidate should have over 5 years of experience in software engineering and be proficient in building production large language model applications.

This role offers the opportunity to mentor others, drive technical decisions, and improve operational practices, all while contributing to a culture of diversity and inclusion.

Qualifications

• 5+ years applied experience in software engineering.
• Architecting and shipping production large language model applications.
• Experience designing distributed systems with caching and messaging.

Responsibilities

• Lead the architecture and delivery of scalable AI platforms.
• Design production AI systems including memory patterns and tool integration.
• Optimize platform performance with context efficiency and cost controls.

Skills

Software engineering concepts

Production large language model applications

Cloud-native services

Asynchronous workflows

Retrieval-augmented generation

API design skills

Technical leadership

Responsible AI use

Education

Formal training or certification in software engineering

Tools

AWS

Kubernetes

Job description

JPMorganChase is seeking a Lead Software Engineer to join their Enterprise Technology division. You will lead the architecture and implementation of scalable AI platforms while designing cloud-native solutions that enhance reliability and efficiency. The ideal candidate should have over 5 years of experience in software engineering and be proficient in building production large language model applications.

This role offers the opportunity to mentor others, drive technical decisions, and improve operational practices, all while contributing to a culture of diversity and inclusion.