American Express
Agentic AI Infrastructure Engineer II - Core Platforms
New York, NY +2 · Hybrid · Full-time · Posted Oct 14, 2026
- Location
- New York, NY
Sunrise, FL
Phoenix, AZ - Experience
- 3 to 5 years in infrastructure engineering, cloud engineering, DevOps, or a related technical field, including at least 2 years supporting AI-enabled infrastructure, AI automation, or agentic AI technologies.
- Education
- Bachelor's degree in Computer Science, Information Technology, Engineering, and/or comparable experience; advanced degree preferred.
- Visa sponsorship
- Employment eligibility to work with American Express in the U.S. is required; the company will not pursue visa sponsorship for these positions.
About the job
Designs and operates scalable infrastructure for AI-enabled and agentic workloads, supporting deployment, performance, security, observability, and production operations.
What you'll do
- Design, integrate, test, and document infrastructure deployments; resolve operational and project-lifecycle issues.
- Build and operate AI platforms, including GPU-enabled compute, Kubernetes-based training and inference, and high-performance storage and networking.
- Apply AI-assisted engineering and AIOps tools to infrastructure workflows, with human validation of generated recommendations and operational outputs.
What they ask for
- Experience with agent runtimes, orchestration frameworks, tool integrations, and stateful workflows.
- Experience with Kubernetes-based AI platforms, containers, workload schedulers, and GPU or accelerator orchestration.
- Experience with production AI inference or distributed training infrastructure, including performance optimization and capacity planning.
- Experience with security, reliability, observability, and FinOps practices for multi-tenant AI infrastructure.
Nice to have
- Advanced degree preferred.
- Experience with LangGraph, Semantic Kernel, or comparable frameworks.
Pay
$89250 - $150250 USD annually (base salary)
Tools
Kubernetes, Terraform, Ansible, Python, PowerShell, LangGraph, Semantic Kernel, Prometheus
AI focus
Supports agentic AI infrastructure and AI-enabled workloads, using AI-assisted engineering and prompt techniques, ML-powered AIOps, and AI infrastructure platforms; validates AI-generated operational outputs with human oversight.
Model-written summary · the original posting is authoritative