Senior Agentic AI Infrastructure Engineer I - Core Platforms

The Enterprise Technology Services organization partners with every part of the

American Express business to power the company’s growth and innovation with

trust and efficiency, and drive competitive differentiation with speed. We

support the delivery and operations of technology, digital, and data

capabilities, platforms, and services globally. Specifically, our team is

responsible for the company’s technology engineering, architecture, and

infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality

experience for customers and colleagues. We also provide product management for

core enterprise platforms, and lead technology risk and information security,

enterprise data governance and platforms, digital product and design, and

enterprise AI platforms on behalf of the company.

The AI Infrastructure Engineer collaborates with application and platform teams

to design, implement, and optimize secure, scalable infrastructure solutions for

AI-enabled workloads. This role resolves complex technical issues, ensures

strong system performance, reliability, and security, and leads infrastructure

initiatives that align with business objectives and platform strategy.

RESPONSIBILITIES

* Mentors junior Infrastructure Engineers and cross-functional team of

colleagues, fostering a culture of excellence and innovation

* Leads projects collaborating with multiple cross-functional teams within

budget and schedule, ensuring timely issue resolution and maintaining high

standards of design, implementation, testing, and compliance

* Guides stakeholders on aligning processes with industry best practices and

business objectives

* Provides guidance and support to junior engineers, fostering professional

growth and development within the team

* Collaborates with application teams to integrate business needs into

comprehensive infrastructure solutions, aligning with business objectives and

platform roadmap

* Leads infrastructure design and selection, ensuring solutions meet customer

needs and strategic goals

* Diagnoses and resolves complex infrastructure issues, providing support

during outages to ensure minimal disruption

* Monitors and addresses capacity and availability issues, conducts performance

and security assessments, and supports certification and accreditation

processes

* Leads the efforts towards defining and maintaining processes, documentation,

and engineering diagrams for technical and operational support

* Embeds AI-assisted observability, automation, and documentation capabilities

into team workflows to improve deployment efficiency, issue detection,

infrastructure analysis, troubleshooting, production support, system

readiness, and operational support for specialized compute environments

supporting AI-enabled workloads.

* Embeds ML-powered AIOps and custom anomaly detection into team workflows,

using metrics, logs, and traces to detect anomalies, predict failures, and

correlate incidents across distributed systems.

* Embeds AI-assisted infrastructure-as-code development and review practices

using tools such as GitHub Copilot, Claude Code, Cursor, and similar

capabilities into engineering workflows, improving consistency, deployment

quality, and operational efficiency.

* Supports infrastructure environments hosting AI-enabled workloads, including

cloud-based LLM platforms such as AWS Bedrock, Azure AI Foundry/Azure OpenAI,

and Google Vertex AI, while mentoring engineers on responsible use of

AI-enabled infrastructure tools, prompt engineering, runbook generation,

incident troubleshooting, postmortem summarization, operational analysis,

validation, oversight, and operational readiness of GPU- and TPU-enabled

infrastructure environments.

* Designs and operates GPU- and accelerator-enabled compute platforms,

including cluster scheduling, workload placement, capacity management, quota

and reservation controls, and utilization optimization.

* Builds reusable platform capabilities for model training, fine-tuning,

inference, and agentic workloads using Kubernetes, containers, infrastructure

as code, and automated delivery pipelines.

* Engineers high-performance storage, networking, and data-movement patterns

required for distributed AI workloads, with measurable service-level

objectives for availability, latency, throughput, and recovery.

* Implements end-to-end observability and FinOps controls for AI

infrastructure, including workload telemetry, accelerator utilization, cost

attribution, anomaly detection, performance tuning, and capacity forecasting.

* Partners with AI engineers, security, risk, and platform teams to establish

secure multi-tenant isolation, identity and access controls, secrets

management, software supply-chain controls, and operational readiness.

QUALIFICATIONS

Work Experience

* Designing infrastructure for AI agents, including agent runtimes,

orchestration frameworks, tool integrations, asynchronous execution, and

stateful workflows. Examples include LangGraph, Semantic Kernel, and

comparable frameworks.

* Experience applying Agentic AI tools to support infrastructure engineering,

platform support, or cloud operations work, including reviewing AI-generated

operational insights.

* Experience validating AI-generated operational outputs and incorporating

AI-enabled practices into infrastructure workflows, including AI-assisted

operational recommendations requiring human review and approval.

* Experience with Kubernetes-based AI platforms, containers, workload

schedulers, and GPU or accelerator orchestration in cloud or hybrid

environments.

* Experience operating model-serving or inference platforms and optimizing

throughput, latency, availability, and cost for production AI workloads.

* Experience with distributed training or inference infrastructure,

high-performance networking and storage, accelerator telemetry, and capacity

planning.

* Experience implementing security, reliability engineering, observability, and

FinOps practices for multi-tenant AI infrastructure.

* Experience in different programming languages, DevOps tools such as Ansible,

Puppet, Terraform, Python, Shell scripting and PowerShell, and their

applications in infrastructure.

* Experience in infrastructure components such as servers, storage, networking,

and virtualization technologies.

* Experience in network protocols and their job in infrastructure management.

* Experience in networking fundamentals.

* Experience in databases.

* Experience in tools used in planning, analyzing, crafting, building, testing,

configuring, and maintaining applications.

* Experience in cloud platforms (e.g., AWS, Azure, Google Cloud).

* Experience in monitoring technologies such as Prometheus, ElasticSearch and

Grafana.

Education and Knowledge

* 5+ Years of experience in infrastructure engineering, cloud engineering,

DevOps, or a related technical field, including at least 2 years of hands-on

experience supporting AI-enabled infrastructure, AI automation, or agentic AI

technologies.

* Bachelor's degree in Computer Science, Information Technology, Engineering,

and/or comparable experience; advanced degree preferred

* Knowledge of application infrastructure and standards

* Knowledge of storage management (e.g., SAN, NAS) design and support

* Knowledge of middleware technologies

* Knowledge of software defined networking, automation, and orchestration and

their applications

* Knowledge of platform delivery methodology (Agile, Scrum, Agile XP, Best in

Class Development, Waterfall, etc.)

* Knowledge of scripting and automation skills (e.g., PowerShell, Bash, Python)

* Knowledge of DevOps practices and tools (e.g., continuous

integration/continuous deployment pipelines, Docker, Kubernetes)

* Knowledge of cloud technologies

* Knowledge of Windows and Linux administration

* Working knowledge of AI-assisted infrastructure automation, observability,

and deployment support capabilities, and infrastructure services commonly

used to support AI-enabled workloads

* Working Knowledge of AI use cases in configuration management, incident

analysis, infrastructure operations, and AI-assisted operational workflows

that incorporate human oversight and approval controls.

Employment eligibility to work with American Express in the United States is

required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of

innovation, shared values

[https://www.americanexpress.com/en-us/company/who-we-are/]and Leadership

Behaviors, and an unwavering commitment to back our customers, communities, and

colleagues. From delivering differentiated products to providing world-class

customer service, we operate with a strong risk mindset, ensuring we continue to

uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive

support for your holistic well-being and many opportunities to learn new skills,

develop as a leader, and grow your career. Here, your voice and ideas matter,

your work makes an impact, and together, you will help us define the future of

American Express.

We back you with benefits that support your holistic well-being so you can be

and deliver your best. This means caring for you and your loved ones' physical,

financial, and mental health, as well as providing the flexibility you need to

thrive personally and professionally:

* Competitive base salaries

* Bonus incentives

* 6% Company Match on retirement savings plan

* Free financial coaching and financial well-being support

* Comprehensive medical, dental, vision, life insurance, and disability

benefits

* Flexible working model with hybrid, onsite or virtual arrangements depending

on role and business need

* 20+ weeks paid parental leave for all parents, regardless of gender, offered

for pregnancy, adoption or surrogacy

* Free access to global on-site wellness centers staffed with nurses and

doctors (depending on location)

* Free and confidential counseling support through our Healthy Minds program

* Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site

[https://www.americanexpress.com/en-us/colleagues/benefits].

American Express is an equal opportunity employer and makes employment decisions

without regard to race, color, religion, sex, sexual orientation, gender

identity, national origin, veteran status, disability status, age, or any other

status protected by law. American Express will consider for employment all

qualified applicants, including those with arrest or conviction records, in

accordance with the requirements of applicable state and local laws, including

the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for

Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring

Ordinance. For positions covered by federal and/or state banking regulations,

American Express will comply with such regulations as it relates to the

consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and

personally. That's why we have Amex Flex, our enterprise working model that

provides greater flexibility to colleagues while ensuring we preserve the

important aspects of our unique in-person culture. Depending on role and

business needs, colleagues will either work onsite, in a hybrid model

(combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition.

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