Senior Agentic AI Infrastructure Engineer I - Core Platforms

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., 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. US Job Seekers - Click to view the “ Know Your Rights “ poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.

• 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., * 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.

• 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

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