Senior AI Engineer I - Global Dining
About The Position
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented technology teams and build a unique career with the Powerful Backing of American Express. With opportunities to work with the latest technologies and a commitment to supporting the broader engineering community, our mission is to power your success. Amex Tech is powered by our technology, our culture, and our colleagues. The U.S. Consumer Services and Membership Digital Experiences Technology team (USCDT) brings together foundational strategic technology capabilities across digital experience engineering, marketing and advertising technology, enterprise communications, travel and lifestyle, and dining technology. The organization builds customer-facing capabilities that deepen digital engagement as well as core technology platforms that span business lines and customer segments. American Express Global Dining brings together world-class experiences through platforms such as Resy, Tock, and Rooam, creating seamless connections between diners, restaurants, and the broader American Express Membership ecosystem. Our mission is to define the future of hospitality and dining through technology, data, and design. As part of Team Amex, you’ll have the support, flexibility, and autonomy to make an impact while helping shape the future of how people discover, book, and enjoy dining experiences worldwide. At American Express, AI is reshaping the future of commerce and redefining the experiences our customers, merchants, and Card Members expect. Within Global Dining, housed within Amex Technology, we are applying AI to reimagine how diners discover and experience restaurants, how restaurants engage and serve their guests, and how our colleagues build and operate the platforms behind those experiences. Our focus is increasingly on agentic AI: intelligent systems capable of understanding context, reasoning, planning, using tools, and taking actions across complex workflows with appropriate levels of autonomy. These capabilities have the potential to transform dining discovery, reservations, restaurant operations, customer servicing, and the engineering systems that power the Global Dining ecosystem. We are building these capabilities with the reliability, security, explainability, observability, and governance required to operate AI at American Express scale. 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.
Requirements
- Strong software engineering fundamentals.
- Excited about solving difficult problems at the intersection of AI, distributed systems, and customer-facing products.
- Experience with Python, Go, TypeScript.
- Experience with AWS and/or GCP, Kubernetes.
- Experience with LangGraph, LangChain, Docker.
- Experience with REST, gRPC.
- Experience with event-driven architectures, including Kafka.
- Experience with data processing technologies and frameworks for large-scale data pipelines.
- Experience with commercial and open-source LLMs integrated into production applications and agentic workflows.
- Experience with tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation.
- Experience with prompt engineering, context management, structured generation, and model evaluation.
- Experience with machine learning and natural language processing techniques, including Transformer-based models and their real-world applications.
- Experience with schema validation and structured data handling.
- Experience with machine learning operations tooling for model deployment, monitoring, and maintenance.
- Experience with AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
- Understanding of how to apply AI tools responsibly while maintaining production-quality standards.
- Understanding of the responsibility of deploying autonomous AI in a financial services environment.
Responsibilities
- Designing, building, integrating, and operating AI-powered capabilities across the Global Dining ecosystem.
- Developing production AI systems that apply large language models, retrieval, tools, orchestration, machine learning, and generative AI to real-world customer, restaurant, and platform workflows.
- Working across the AI application stack—from LLMs, retrieval and agent orchestration to APIs, data pipelines, evaluations, observability, and production infrastructure.
- Writing production code, prototyping emerging approaches, contributing to technical designs, and taking AI capabilities from experimentation through deployment, monitoring, and continuous improvement.
- Collaborating with engineers across teams to integrate AI models and intelligent services into existing production systems while meeting both technical and business requirements.
- Providing technical guidance within the team, contributing to engineering standards and reusable patterns, mentoring junior engineers, and helping foster a culture of engineering excellence and innovation.
- Applying advanced expertise in AI engineering while continuing to develop breadth across adjacent technical domains.
- Partnering closely with Product, Design, Data, Information Security, Risk, Compliance, and other engineering teams to translate business and customer needs into responsible, scalable AI solutions.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
