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American Express
American Express
B2BBankingFinance
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
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Senior Agentic AI Infrastructure Engineer, Core Platforms

Build secure, scalable GPU infrastructure and agentic AI platforms for American Express. Improve cloud inference, observability, FinOps, and reliability across multi-tenant environments.

USUnited StatesAZArizonaFLFloridaNYNew York
$123,000 – $215,250 / year
HybridFull-timeSeniorEnglish RequiredInfrastructure Engineer
AnsibleAWSAzureCloudElasticSearchGrafanaKubernetesLinuxPrometheusPuppetPythonShell ScriptingTerraform

Description

  • Coach junior infrastructure engineers and colleagues from other disciplines.
  • Drive infrastructure initiatives across teams, delivering within agreed budgets and timelines.
  • Advise stakeholders on industry practices and business goals.
  • Work with application teams to design infrastructure that meets business needs and supports the platform roadmap.
  • Lead infrastructure architecture and technology selection.
  • Investigate and resolve complex infrastructure problems, and help respond to outages.
  • Track capacity and availability, and assess performance and security.
  • Establish and maintain operational processes, documentation, and engineering diagrams.
  • Integrate AI-supported observability, automation, documentation, and infrastructure-as-code into engineering workflows.
  • Use machine-learning-based AIOps and custom anomaly detection across metrics, logs, and traces.
  • Support AI workloads on AWS Bedrock, Azure AI Foundry and Azure OpenAI, and Google Vertex AI.
  • Design and run GPU and accelerator compute platforms, managing scheduling, workload placement, capacity, quotas, reservations, and utilization.
  • Create reusable platform services for model training, fine-tuning, inference, and agent workloads with Kubernetes, containers, infrastructure as code, and automated delivery pipelines.
  • Develop high-performance storage, networking, and data movement for distributed AI workloads.
  • Apply observability and FinOps controls for telemetry, accelerator usage, cost attribution, anomaly detection, performance tuning, and capacity forecasting.
  • Work with AI engineering, security, risk, and platform teams on tenant isolation, identity and access controls, secrets, software supply-chain safeguards, and operational readiness.

Requirements

  • At least five years of experience in infrastructure engineering, cloud engineering, DevOps, or a related technical area.
  • At least two years of hands-on work supporting AI-enabled infrastructure, AI automation, or agentic AI technologies.
  • Bachelor’s degree in computer science, information technology, engineering, or comparable experience; an advanced degree is preferred.
  • Experience designing infrastructure for AI agents, including runtimes, orchestration frameworks, tool integrations, asynchronous execution, and stateful workflows.
  • Experience using agentic AI tools in infrastructure engineering, platform support, or cloud operations.
  • Experience checking AI-generated operational outputs and applying AI-enabled practices to infrastructure workflows.
  • Experience with Kubernetes-based AI platforms, containers, workload schedulers, and GPU or accelerator orchestration in cloud or hybrid settings.
  • Experience running model-serving or inference platforms and improving throughput, latency, availability, and cost.
  • Experience with distributed training or inference infrastructure, high-performance networking and storage, accelerator telemetry, and capacity planning.
  • Experience applying security, reliability engineering, observability, and FinOps practices to multi-tenant AI infrastructure.
  • Experience with Ansible, Puppet, Terraform, Python, shell scripting, and PowerShell.
  • Experience with servers, storage, networking, virtualization, network protocols, databases, cloud platforms, and monitoring tools such as Prometheus, ElasticSearch, and Grafana.
  • Knowledge of application infrastructure, storage management, middleware, software-defined networking, automation, orchestration, platform delivery methods, DevOps, cloud technologies, and Windows and Linux administration.
  • Working knowledge of AI-assisted infrastructure automation, observability, deployment support, configuration management, incident analysis, and human oversight workflows.
  • Must be eligible to work for American Express in the United States; visa sponsorship is not available.

Benefits

  • Competitive base pay.
  • Bonus opportunities.
  • A 6% company match on retirement savings.
  • Complimentary financial coaching and financial well-being resources.
  • Medical, dental, vision, life insurance, and disability coverage.
  • Flexible work arrangements, which may be hybrid, onsite, or virtual depending on the role and business needs.
  • More than 20 weeks of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy.
  • Complimentary access to onsite wellness centers staffed by nurses and doctors, depending on location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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