VP AI Lead Infrastructure Engineer

JPMorgan Chase & Co. • New York, NY

10h • $123,500 - $190,000

About The Position

As a Lead Infrastructure Engineer at JPMorganChase within Consumer and Community Banking, you will be a key member of a high-performing team delivering infrastructure and performance excellence. You will apply deep knowledge of software, applications, and technical processes in infrastructure engineering, while continuing to develop technical and cross-functional expertise beyond your aligned domain. The role involves applying enterprise-authorized AI capabilities to infrastructure analysis, design documentation, delivery, and automation, while validating AI outputs and handling operational data in accordance with sensitivity and security requirements.

Requirements

• Formal training or certification in infrastructure engineering concepts and at least 5 years of applied experience, including deep experience with at least one major cloud provider; AWS is preferred.
• Deep knowledge in one or more infrastructure engineering areas, such as hardware, networking, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessment.
• Hands-on experience running ML or GenAI workloads in production, such as consuming hosted model APIs through AI gateways with authentication, rate limiting, and resilience.
• Kubernetes experience, including GPU scheduling and autoscaling.
• Experience with infrastructure as code using Terraform or an equivalent, and CI/CD for infrastructure.
• Strong Python experience for automating manual work.
• Observability experience with tools such as Splunk, Dynatrace, Datadog, Grafana, or OpenTelemetry.
• Demonstrated experience using enterprise-authorized AI capabilities in infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalate when uncertain, and ensure outcomes meet resiliency, security, and auditability expectations.
• Deep knowledge of a specific infrastructure technology and scripting languages.
• Deep knowledge of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds.

Responsibilities

• Apply technical expertise and problem-solving methodologies to projects of moderate scope, developing creative solutions for design, development, and technical troubleshooting of moderately complex problems.
• Use enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Drive a workstream or project involving one or more infrastructure engineering technologies, and collaborate with other platforms to architect and implement changes that resolve issues and modernize organizational and technology processes.
• Consider upstream and downstream data, systems, and technical implications, and advise on mitigation actions.
• Apply reuse-first, AI-assisted practices in delivery and automation to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, resilient, and secure.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed