Experience in one or more of the following domains: cloud and accelerated compute platforms (e.g., AWS, CPU/GPU infrastructure, autoscaling, workload scheduling, resource quotas, capacity planning); research environments and developer platforms (e.g., containers, Jupyter, package and dependency management, artifact repositories, experiment tracking, self-service tooling); AI workload enablement (e.g., LLM inference and evaluation, agentic workflows, retrieval pipelines, model-serving infrastructure, distributed processing); reliability and operations (e.g., observability, service-level objectives, incident response, resilience, backup and recovery, operational readiness). As an AI Platform Engineer - Vice President at JPMorgan Chase within the Global Technology Applied Research (GTAR) center, you will engineer, operate, and evolve the shared platforms that enable GTAR researchers to develop, evaluate, and mature AI solutions in secure, scalable, firm-approved environments.