VP AI Platform Engineer: Scalable Cloud for Research

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an AI Platform Engineer – Vice President in the GTAR center in New York to own the AI research platform’s architecture and roadmap. You will design secure, scalable cloud and GPU infrastructure, and automate environments for researchers to run experiments reliably.

Collaborate with researchers to translate research needs into platform capabilities, ensure cost-effective operations, and drive risk and control items to closure across enterprise-grade workloads.

Qualifications

• Master's degree in computer science, software engineering, computer engineering, information systems, or a related technical field, plus at least 4 years of relevant industry experience building or operating cloud, platform, or infrastructure systems.
• Hands-on experience operating production-grade environments, including EC2, networking, storage, monitoring, and cost management.
• Strong knowledge of Linux systems, containers, networking, storage, and distributed systems, with experience in orchestration or workload-scheduling technologies.
• Experience with infrastructure-as-code and delivery automation using tools such as Terraform or CloudFormation, configuration management, and CI/CD pipelines.
• Proficiency in Python and shell scripting, with sound software engineering practices for building maintainable automation, services, and platform integrations.
• Working knowledge of AI/ML development workflows and demonstrated ability to translate research requirements into platform designs, communicate technical trade-offs, manage delivery dependencies, and drive risk and control items to closure.
• Experience in cloud and accelerated compute platforms, research environments and developer platforms, AI workload enablement, and reliability/operations.

Responsibilities

• Own the architecture, technical roadmap, and day-to-day engineering of the team’s AI research platform.
• Design and operate secure, scalable cloud and CPU/GPU infrastructure, including clusters, workload scheduling, storage, networking, capacity planning, performance, and cost.
• Build reproducible, self-service research environments and platform automation using container images, GPU software stacks, dependency management, infrastructure-as-code, CI/CD, and orchestration.
• Partner with researchers to translate requirements from LLM, agentic AI, model evaluation, retrieval, inference, and accelerator benchmarking into platform capabilities and packaging for downstream integration.
• Assess and onboard new AI infrastructure technologies, cloud services, accelerators, and developer tooling through benchmarks, architecture reviews, and pilots.
• Maintain reliable platforms through observability, incident response, patching, lifecycle management, access controls, and runbooks.

Skills

Cloud architecture

Linux admin

Container orchestration

Terraform

CI/CD automation

Python scripting

AI/ML workflows

GPU compute

Security controls

Observability

Education

Master's degree in CS / software engineering

Tools

Kubernetes

Slurm

Ray

Jupyter

Terraform

CloudFormation

CI/CD tooling

Artifact repositories

Job description

JPMorgan Chase & Co. is seeking an AI Platform Engineer – Vice President in the GTAR center in New York to own the AI research platform’s architecture and roadmap. You will design secure, scalable cloud and GPU infrastructure, and automate environments for researchers to run experiments reliably.

Collaborate with researchers to translate research needs into platform capabilities, ensure cost-effective operations, and drive risk and control items to closure across enterprise-grade workloads.