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American Express
American Express
B2BBanku darbībaFinanses
American Express ir globāls finanšu pakalpojumu uzņēmums, kas darbojas banku pakalpojumu, finansēšanas un uzņēmumu maksājumu jomā. Tā darbība ietver patērētājiem, uzņēmumiem un korporācijām paredzētas kredītkartes, maksājumu un tirgotāju pakalpojumus, krājkontus, noguldījumu sertifikātus un privātos aizdevumus, kā arī atlīdzību un ceļošanas programmas, korporatīvos maksājumu risinājumus, finanšu izglītību, drošības pakalpojumus un karšu lietotāju un tirgotāju atbalstu.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisAZArizonaFLFloridaNYŅujorka
123 000 $ – 215 250 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuInfrastruktūras inženieris
AnsibleAWSAzureČaulas skriptēšanaElasticsearchGrafanaKubernetesLinuxMākonisPrometheusPuppetPythonTerraform

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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