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About the Role

As a Senior AI Engineer – Agentic AI, Global Dining, you will be a hands-on engineer responsible for designing, building, integrating, and operating AI-powered capabilities across the Global Dining ecosystem. You will develop production AI systems that apply large language models, retrieval, tools, orchestration, machine learning, and generative AI to real-world customer, restaurant, and platform workflows. You will work across the AI application stack—from LLMs, retrieval and agent orchestration to APIs, data pipelines, evaluations, observability, and production infrastructure. This is a deeply hands-on engineering role. You will write production code, prototype emerging approaches, contribute to technical designs, and take AI capabilities from experimentation through deployment, monitoring, and continuous improvement. You will collaborate with engineers across teams to integrate AI models and intelligent services into existing production systems while meeting both technical and business requirements. As a Senior Engineer, you will provide technical guidance within the team, contribute to engineering standards and reusable patterns, mentor junior engineers, and help foster a culture of engineering excellence and innovation. You will apply advanced expertise in AI engineering while continuing to develop breadth across adjacent technical domains. You will partner closely with Product, Design, Data, Information Security, Risk, Compliance, and other engineering teams to translate business and customer needs into responsible, scalable AI solutions.

Responsibilities

Design, build, and operate scalable production AI systems integrating ML models, LLMs, retrieval systems, and intelligent services.
Develop core GenAI and agentic capabilities, including RAG, agent/workflow orchestration, tool integrations, context management, structured outputs, and evaluation frameworks.
Integrate AI capabilities into existing production systems, partnering across engineering teams to meet technical, product, and business requirements.
Own the end-to-end production lifecycle of AI capabilities, including implementation, testing, deployment, monitoring, evaluation, maintenance, and continuous improvement.
Build robust AI evaluation and safety mechanisms, including offline evaluation, regression testing, task-success measurement, model/prompt comparison, guardrails, permissions, validation, and graceful failure/recovery.
Design for production-scale requirements, including latency, throughput, availability, scalability, security, observability, cost, model variability, and failure modes.
Translate customer, restaurant, and business needs into AI solutions, partnering with Product, Design, Data, and business teams to identify high-value applications across dining discovery, reservations, hospitality workflows, and servicing.
Evaluate emerging models, frameworks, and AI technologies and help determine appropriate technical approaches for Global Dining.
Establish reusable AI engineering patterns and standards, including reference implementations and best practices for LLM and agentic systems.
Provide technical leadership and mentorship through architecture/design reviews, code reviews, hands-on collaboration, and guidance to other engineers.

Requirements

Bachelor’s degree in Computer Science, Machine Learning, Data Science, Computer Engineering, a related technical field, or equivalent practical experience; advanced degree preferred.
Significant software engineering experience building and operating production AI/ML systems, including generative AI, LLM applications, or agentic systems.
Strong proficiency in Python and experience with one or more additional languages such as Go, TypeScript, or Java.
Strong understanding of modern AI architectures and techniques, including LLMs, NLP, retrieval/RAG, tool calling, structured generation, context management, orchestration, and evaluation.
Experience integrating commercial or open-source LLMs into real-world applications.
Experience designing scalable, distributed, API-driven systems and production services, with strong knowledge of reliability, latency, security, observability, cost, and performance optimization.
Experience building data pipelines and ETL processes using Spark, Hadoop, or comparable modern data-processing frameworks.
Experience deploying and operating AI models and pipelines using MLOps, CI/CD, and containerized infrastructure.
Demonstrated end-to-end ownership of production systems, from architecture and implementation through deployment, monitoring, and maintenance.
Ability to navigate ambiguous technical problems, make pragmatic engineering decisions, and translate emerging AI capabilities into reliable customer experiences.
Experience mentoring engineers and improving engineering quality through design reviews, code reviews, documentation, and hands-on collaboration.
Strong communication and cross-functional collaboration skills, with the ability to translate business requirements and complex technical concepts for technical and non-technical audiences.
Deep expertise in at least one technical domain, with the ability to develop expertise across adjacent areas.
Strong customer mindset and interest in applying AI to meaningful real-world experiences.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Skills

Python
Go
TypeScript
AWS
GCP
Kubernetes
LangGraph
LangChain
Docker
REST
gRPC
Kafka
Spark
Hadoop
LLMs
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tooling
Vector Storage
Prompt Engineering
Context Management
Structured Generation
Model Evaluation
Machine Learning
Natural Language Processing (NLP)
Transformer-based Models
Schema Validation
Machine Learning Operations (MLOps)
CI/CD
Containerized Infrastructure
Distributed Systems
Event-Driven Architectures
Data Pipelines
ETL Processes
AI-Assisted Development

Work Type

Hybrid
Onsite
Virtual

Experience Level

Senior

Education Level

Bachelor's degree in Computer Science, Machine Learning, Data Science, Computer Engineering, or a related technical field
Advanced degree preferred

Benefits

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

About the Company

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.

Equal Opportunity

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.