Senior AI Engineer - Global Infrastructure

Position: Senior Staff AI Engineer - Global Infrastructure
Job d:

Location:

New York, NY, United States;
Sunrise, FL, United States;
Phoenix, AZ, United States Salary: $144250 - $256250 annually + bonus + equity (if applicable) + benefits

Job Function:
Engineering & Architecture

Schedule:

Full time

Shift: Day Workplace:
Hybrid Career Area:
Technology Company:
American Express Description 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

Senior Staff AI Engineer leads enterprise-scale AI architecture and implementation across infrastructure and agentic AI systems. The role sets technical direction, ensures scalable, reliable, secure, and responsible AI platforms, mentors senior technical talent, and drives continuous improvement in AI engineering practices and platform capabilities.

Responsibilities Serves as a senior technical authority for enterprise-scale AI systems with significant strategic and long-term business impact

Defines architecture and engineering patterns for agentic AI, retrieval/grounding, model integration, inference platforms, observability, evaluation, and safety

Leads resolution of complex and ambiguous technical challenges, balancing performance, cost, scalability, security, safety, and regulatory constraints

Shapes long-term AI engineering strategy across platforms, tools, and system design approaches

Guides multiple cross-team AI initiatives to ensure coherent architecture, integration, and alignment across domains

Leads technical and architectural reviews, setting standards for engineering excellence and consistent implementation

Partners with Product, Data Engineering, Cloud Infrastructure, Architecture, Risk, and Cybersecurity leaders to align AI solutions with enterprise priorities and governance requirements

Evaluates emerging AI technologies and translates them into scalable, enterprise-ready capabilities

Mentors Staff and Senior Engineers, raising organizational technical capability and developing future technical leaders

Qualifications

Education and KnowledgeMS/PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline preferred

Deep knowledge of machine learning and deep learning systems, including model architectures, training, evaluation, and optimization

Advanced knowledge of Generative AI and LLM ecosystems, including embeddings, fine-tuning, prompt design, retrieval-augmented generation, and inference at scale

Strong understanding of AI infrastructure, including GPU platforms, accelerated compute, workload scheduling, capacity optimization, model serving, and inference performance

Advanced understanding of agentic AI design, including planning, reasoning, tool use, memory, multi-agent coordination, and autonomy controls

Strong foundation in distributed systems, cloud-native architecture, Kubernetes, APIs, microservices, event-driven design, observability, and platform reliability

Knowledge of Dev Ops and CI/CD platforms such as Harness, including automated deployment, environment promotion, governance, and operational controls

Knowledge of enterprise…