Principal AI Infrastructure Architect

JPMorganChase; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase seeks a Principal Engineer to advance the Core AI Infrastructure Platform. You will design and promote a shared ecosystem unifying training and inference pipelines across hybrid-cloud environments, enabling thousands of engineers to deploy AI models safely and efficiently in production.

Responsibilities include building scalable platform services, applying observability and SRE practices, and guiding teams on reliable, secure AI delivery.

Qualifications

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Strong hands-on coding experience in Python with production-grade services.
• Experience leading AI-assisted software development tooling and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.
• Hands-on experience with system design, automated testing, debugging, and operational stability for production software.
• Experience implementing observability, logging, metrics, alerts, SLIs, incident response and root-cause analysis for services in production.
• Working knowledge of cloud platforms, AI/ML platforms, distributed systems, or infrastructure engineering.
• Ability to break down technical requirements into executable tasks and meet milestones.
• Strong written and verbal communication skills.

Responsibilities

• Architect and design solutions to enhance reliability and scalability of AI/ML platforms and applications.
• Build and enhance reusable platform services, APIs, SDKs, agents, and libraries for model hosting and inference.
• Partner with AI infrastructure teams to implement Foundation Services capabilities.
• Own and evolve non-functional requirements and tooling for observability, security, and cost optimization.
• Establish standards and reference architectures for reliability and operational readiness.
• Partner with product teams to meet service reliability targets including performance and recoverability.
• Participate in on-call rotations and resolve complex production issues.
• Mentor engineers and raise engineering quality and operational rigor.

Skills

Python

Production-grade services

AI infrastructure

Observability & SRE

System design

Mentoring

Job description

JPMorganChase seeks a Principal Engineer to advance the Core AI Infrastructure Platform. You will design and promote a shared ecosystem unifying training and inference pipelines across hybrid-cloud environments, enabling thousands of engineers to deploy AI models safely and efficiently in production.

Responsibilities include building scalable platform services, applying observability and SRE practices, and guiding teams on reliable, secure AI delivery.